831 applications
Infisical screenshot thumbnail

Infisical

API keys hardcoded in repos, database passwords pasted into CI variables, .env files emailed between developers - Infisical, the open-source platform for secrets, certificates, and privileged access management, is the answer to all three. Secrets live in versioned stores scoped by project, environment, and path, with fine-grained identity-aware access control and full audit logging on every read and change. Delivery covers every consumption pattern: CLI injection into local dev, SDKs for Go, Node.js, and Python, an HTTP API, agents, a Kubernetes Operator, and secret syncs that push to GitHub, GitLab, AWS Secrets Manager, and Vercel. Automatic rotation replaces credentials for PostgreSQL, MySQL, MSSQL, LDAP, AWS IAM, and Azure on a rolling schedule - new credentials issue while old ones stay temporarily valid, so nothing breaks mid-rotation. Dynamic secrets go further, generating ephemeral, time-bound database credentials on demand, and SSH access replaces static keys with short-lived CA-signed certificates that expire automatically. Secrets scanning catches hardcoded credentials in code and pipelines, certificate management automates X.509 issuance and renewal, and a built-in KMS handles encrypt/decrypt with central key control. Self-hosting keeps the keys to everything else on your own infrastructure.

Deploy
Chroma screenshot thumbnail

Chroma

With over 29,000 GitHub stars and deep integrations into LangChain, LlamaIndex, and CrewAI, Chroma has become the default vector database for developers building retrieval-augmented generation pipelines and AI agent memory systems. Its core API consists of just four functions — create, add, query, and delete — making it the fastest path from zero to semantic search, while the underlying Rust engine handles tokenization, embedding, HNSW indexing, and similarity scoring automatically. Chroma supports dense vector search via HNSW with configurable distance metrics including L2, cosine similarity, and inner product, sparse vector search using SPLADE, full-text BM25 keyword search, and regex matching, all combinable in hybrid queries through a single unified interface. Metadata filtering at query time uses MongoDB-style operators including $eq, $ne, $gt, $lt, $in, and logical combinators $and and $or, enabling precise result scoping without post-processing. The multimodal pipeline powered by OpenCLIP embeds text and images into a shared vector space, allowing cross-modal retrieval where text queries return relevant images and vice versa. Deployment options range from embedded mode via PersistentClient for notebooks and prototypes, to client-server mode with Docker for production, to Chroma Cloud for serverless scalability. Official Python and JavaScript SDKs provide identical APIs, and embedding function integrations support OpenAI, Cohere, Hugging Face, Google, Ollama, and custom models. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Deploy
Karakeep screenshot thumbnail

Karakeep

Previously known as Hoarder and now holding 28,000+ GitHub stars, Karakeep is the most popular open-source bookmark-everything application — combining AI-powered automatic tagging with full-text search, page archival, and cross-platform access for digital content hoarders who refuse to let valuable links disappear. The Next.js frontend with tRPC communication delivers a responsive interface for saving links, notes, images, and PDFs, while Puppeteer crawls bookmarked pages to fetch titles, descriptions, and images automatically. LLM-based auto-tagging supports OpenAI, Anthropic, or local models via Ollama for privacy-first deployments that never send data to external services. Meilisearch powers full-text and semantic search across all stored content including OCR-extracted text from images. A rule-based automation engine triggers custom actions based on bookmark properties — automatically sorting, tagging, or archiving content matching defined conditions. Full page archival via Monolith preserves complete page snapshots against link rot, while yt-dlp integration archives videos from YouTube and other platforms. RSS feed ingestion automatically captures new articles from subscribed sources. Collaborative lists enable teams to build shared bookmark collections, with per-list permissions and real-time sync. Native iOS and Android apps, Chrome and Firefox extensions, and browser bookmark sync via Floccus ensure capture from any device. Importers migrate data from Chrome, Pocket, Linkwarden, Omnivore, and Tab Session Manager. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Deploy
Hoarder screenshot thumbnail

Hoarder

Hoarder (now Karakeep) is a bookmark manager that actually fights link rot: every page you save gets archived at capture time using Monolith, so the content survives even when the original URL dies. Beyond archival, an AI layer powered by OpenAI or local Ollama models auto-tags everything by analyzing page content. Prefer full privacy? Ollama keeps all inference on your server with zero external API calls. Full-text search through Meilisearch indexes the actual scraped content of every bookmark, not just titles and tags, so you find articles by what they say rather than labels you half-remember. Save links with automatic metadata extraction, plain text notes, uploaded images, and PDF documents, all organized into shareable lists with collaborative access. Browser extensions for Chrome and Firefox make saving a one-click operation from any page. Migrating is painless with importers for Chrome, Pocket, Linkwarden, Omnivore, and Tab Session Manager. LLM summarization condenses saved pages into brief overviews for quick scanning. The AI layer is entirely optional: Hoarder works perfectly as a manual bookmark manager, with intelligence adding convenience rather than imposing a requirement. SSO integration and responsive dark mode round out the package.

Deploy
Plausible screenshot thumbnail

Plausible

Built as a direct rejection of the adtech model, Plausible is the best-known privacy-first web analytics tool - lightweight, cookie-free, and open-source. It sets no cookies and stores no personal data: unique visitors are counted via a hash of IP plus User-Agent that rotates every 24 hours and is never stored raw, so no consent banner is required and GDPR compliance is structural rather than contractual. The tracking script is under 1 KB - orders of magnitude lighter than GA - and the dashboard is a deliberate contrast to GA4's sprawl: one fast-loading page with visitors, sources, top pages, countries, devices, and UTM breakdowns, filterable by any dimension. Custom events and goals track signups and clicks, Google Search Console integration pulls in search queries, scheduled email reports keep stakeholders updated, and the Stats API (v2) plus CSV export feed data anywhere. This is the AGPL-licensed Community Edition, the same Elixir codebase that powers Plausible's cloud service, running as three containers: the web app, PostgreSQL for accounts, and ClickHouse for event storage - which means self-hosters get direct SQL access to raw analytics data the cloud version never exposes. Traffic data stays entirely on your server, with no visitor caps or per-pageview pricing.

Deploy
Authelia screenshot thumbnail

Authelia

Authelia is the leading open-source SSO and multi-factor authentication server for self-hosted infrastructure. The Go backend compiles to a single binary or Docker container image, serving a TypeScript React web portal that handles first-factor username and password login, second-factor authentication via TOTP, WebAuthn FIDO2 security keys, passwordless passkeys, and Duo mobile push notifications, and an OpenID Connect 1.0 and OAuth 2.0 identity provider with device code flow, JWE encrypted ID tokens, custom claims policies, and network-scoped authorization criteria. The forward authentication model integrates with Nginx auth_request, Traefik ForwardAuth, HAProxy, Caddy, Envoy, SWAG, and Skipper reverse proxies, injecting Remote-User, Remote-Groups, and Remote-Email headers into authorized requests. Granular access control rules match subject, groups, request URI, HTTP method, and network to enforce one-factor and two-factor policies per route. The user backend supports LDAP with attribute mapping, connection pooling, and bind mode, or YAML file-based authentication with Argon2id hashed passwords. Session state stores in Redis for high availability across clustered deployments, while persistent data lives in SQLite, MySQL and MariaDB, or PostgreSQL. Brute force protection locks accounts after configurable failed attempts, and email-based identity verification handles password resets and device registration. Dark, light, and OLED themes with i18n localization customize the portal appearance. On RepoCloud, deploy Authelia on a dedicated VPS with Docker, root SSH access, and complete control over your authentication infrastructure, all under the Apache-2.0 license.

Deploy
Actual Budget screenshot thumbnail

Actual Budget

Every unit of income gets a job in Actual Budget - a local-first personal finance app built on envelope (zero-sum) budgeting, where you can only budget cash you actually have, which keeps the plan honest by construction. The data model is a SQLite file that lives on your device and works fully offline; the self-hosted Node.js sync server adds background multi-device synchronization using CRDT-based distributed-systems machinery, browser and mobile access as an installable web app, and automated backups. Optional end-to-end encryption makes the synced data unreadable even to the server hosting it. Transactions enter three ways: manual entry, file import (CSV, QIF, OFX, QFX, CAMT.053), or automatic bank syncing through GoCardless for EU/UK banks and SimpleFIN for US/Canada. Built-in YNAB4 and nYNAB importers migrate complete budget histories, and reports, schedules for recurring transactions, and rule-based transaction cleanup handle the day-to-day. A fully featured local API lets developers script custom importers and automation against their own data. 100% free, open source, and 26k stars strong.

Deploy
Wiki.js screenshot thumbnail

Wiki.js

Team and product documentation on a fast Vue frontend with PostgreSQL storage: Wiki.js is a Node.js wiki engine. Its distinguishing trait is per-page editor choice: authors pick Markdown with live preview, a WYSIWYG visual builder for non-technical writers, or raw HTML, page by page. Native Git synchronization commits every page change to GitHub, GitLab, Bitbucket, Azure DevOps, or any Git remote - bi-directionally, so edits made in the repository flow back into the wiki - giving documentation version-controlled backup for free. Authentication coverage is among the broadest of any self-hosted wiki: local accounts with self-registration, social login via Google, GitHub, Discord, and Slack, and enterprise SSO through LDAP/Active Directory, SAML, CAS, Auth0, Okta, Azure AD, Keycloak, and generic OAuth2/OIDC, with optional MFA. Built-in full-text search runs on PostgreSQL with zero setup, and external engines like Algolia or Solr can substitute. Page history with visual version comparison, granular group-based permissions per path, nested navigation menus, 50+ integration modules, and full localization round it out. AGPLv3-licensed with a 28k-star community.

Deploy
Grafana Loki screenshot thumbnail

Grafana Loki

With over 28,600 GitHub stars and 450 contributors, Grafana Loki is the log aggregation system that takes the Prometheus approach to logging — indexing only metadata labels instead of full log content, making it dramatically cheaper and simpler to operate than traditional log management platforms. The label-based indexing strategy groups log streams using the same labels already applied to Prometheus metrics, enabling seamless switching between metrics and logs in Grafana dashboards without maintaining separate indexing infrastructure. Grafana Alloy, the telemetry collector replacing Promtail, scrapes and pushes logs with Prometheus-style service discovery, automatic Kubernetes Pod label extraction, and pipeline stages for parsing, filtering, and relabeling before ingestion. LogQL, the query language, combines label matchers for stream selection with regex line filters and aggregation functions, supporting rate calculations, pattern parsing, and metric generation from log data for alerting and dashboard panels. The storage architecture writes compressed log chunks and TSDB indexes to S3, GCS, Azure Blob Storage, or MinIO-compatible object stores, with configurable retention and compaction policies. Deployment modes scale from a single binary for development through monolithic high-availability mode with multiple replicas to full microservices decomposition with separate ingester, distributor, querier, query-frontend, compactor, and ruler components on Kubernetes via Helm charts. Multi-tenancy isolates data and query paths per tenant through header-based tenant ID assignment. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Deploy
Redash screenshot thumbnail

Redash

Used by millions of users at thousands of organizations worldwide and holding 29,000+ GitHub stars, Redash is the most established open-source SQL-first business intelligence tool — enabling anyone from analysts to executives to query databases, visualize results, and share dashboards without writing a single line of application code. The browser-based query editor supports SQL and NoSQL with schema browsing, auto-complete, query snippets, and parameterized queries that turn static reports into interactive data applications. Native connectors span 35+ data sources including PostgreSQL, MySQL, Amazon Redshift, Google BigQuery, Snowflake, ClickHouse, MongoDB, Elasticsearch, Databricks, Apache Presto, Microsoft SQL Server, and REST APIs — with an extensible data source API for custom integrations. Visualization types cover line, bar, area, pie, scatter, box plot, funnel, cohort, sankey, sunburst, choropleth map, and pivot tables, all draggable onto shared dashboards with cross-filtering parameters. Scheduled refreshes automatically update query results at configurable intervals, while threshold-based alerts notify teams via email, Slack, or webhook when metrics cross defined boundaries. SAML and Google OAuth SSO integration, role-based access control, API key management, and query-level permissions ensure enterprise-grade security for sensitive datasets. The self-hosted stack deploys via Docker Compose with PostgreSQL for metadata storage, Redis for job queuing, and Celery workers for background task execution. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD 2-Clause licensed.

Deploy
MongoDB screenshot thumbnail

MongoDB

Used by over 46,800 companies including Forbes, Toyota, and Cisco, MongoDB stores data as flexible JSON-like BSON documents that eliminate rigid table schemas and support rapid application iteration. Its aggregation pipeline processes complex data transformations through composable stages including $match, $group, $lookup for joins, $unwind, and $project, operating directly within the database engine. Horizontal scaling is built in through automatic sharding, which distributes data across nodes using range-based, hashed, or zone-based shard keys, while replica sets provide automatic failover with configurable read preferences and write concerns. Multi-document ACID transactions span multiple collections and shards since version 4.0, enabling relational-style consistency guarantees within a document model. Starting with Community Edition 8.2, native full-text search and vector search are available directly in the database through $search and $vectorSearch aggregation stages, supporting RAG patterns, semantic retrieval, and hybrid search without external dependencies. Change streams provide real-time event-driven data access by tailing the oplog through the aggregation framework, enabling reactive architectures without polling. Time series collections offer optimized columnar storage for IoT sensor data and metrics with automatic bucketing and compression. Official drivers exist for Python, Node.js, Java, Go, C#, C++, Rust, Swift, and PHP, with MongoDB Compass providing a GUI for visual schema exploration and query building. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. SSPL v1 licensed.

Deploy
ArchiveBox screenshot thumbnail

ArchiveBox

Backed by 27,700+ GitHub stars and actively developed with the v0.9.x architectural overhaul introducing an event-driven plugin ecosystem, ArchiveBox delivers the open-source self-hosted web archiving platform that preserves websites, bookmarks, social posts, media, source code, and research material in durable formats before link rot, platform shutdowns, and censorship erase them permanently. Feed it URLs one at a time or schedule automated imports from browser history, RSS feeds, Pocket, Pinboard, Instapaper, Wallabag, Shaarli, JSON, CSV, HTML bookmark exports, and browser extension captures. Each snapshot stores redundant copies as original HTML, rendered single-file HTML via SingleFile, full-page PDF, screenshot PNG, WARC archive, article text via Readability, favicons, HTTP headers, media files via yt-dlp, git repository clones, and structured metadata in SQLite. The Docker Compose deployment bundles Chrome, wget, curl, yt-dlp, SingleFile, and Readability parsers with automatic dependency management and isolation. Interact through the self-hosted web UI with search, tagging, and admin controls, the comprehensive CLI for batch operations, the REST API for programmatic access, or the Python API for custom integrations. The new abx-plugins system enables community extractors with per-plugin configuration, while the append-only-log architecture provides resumable crawls and audit trails. S3, B2, and Google Cloud storage backends sync archives to remote storage via rclone. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deploy
Open Lovable screenshot thumbnail

Open Lovable

Open Lovable from the Firecrawl team delivers the first truly open-source alternative to Lovable.dev — a chat-driven AI copilot that takes any website URL and regenerates it as a complete, editable React application with TypeScript and Tailwind CSS in seconds. The pipeline combines Firecrawl's intelligent web scraping for JavaScript-rendered pages and single-page applications with your choice of AI provider — Claude, GPT-4, Google Gemini, or Groq — to analyze HTML structure, extract layouts and styling, decompose pages into proper React components, and generate production-ready code following modern best practices. Live preview runs in a secure sandbox environment using Vercel Sandbox with OIDC authentication or E2B Cloud, letting you see results immediately and iterate through natural language chat to request changes like Tailwind migration, componentization, SEO improvements, accessibility fixes, or custom form implementations. The optional Morph LLM fast-apply path accelerates small edits by applying diffs directly without full regeneration. The provider-agnostic architecture means you control costs by routing to different models — use Groq for fast iterations and Claude for complex layouts. Project structure follows Next.js conventions with organized app, components, atoms, styles, utils, and hooks directories. Deploy via pnpm with Node.js 18+ requiring only a Firecrawl API key, one AI provider key, and a sandbox provider configuration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deploy
Label Studio screenshot thumbnail

Label Studio

Images, text, audio, video, HTML, PDFs, and time series, labeled in one tool with a standardized output format: Label Studio is the open-source data labeling platform for building training datasets. Computer vision tasks cover classification, object detection (boxes, polygons, ellipses, keypoints), and semantic segmentation; audio work spans transcription, speaker diarization, and emotion recognition; NLP handles named entity recognition and document classification with taxonomies up to 10,000 classes; and GenAI workflows support LLM fine-tuning data and RLHF response ranking. Labeling interfaces are fully configurable with an XML-like templating language, so the UI matches the task instead of the reverse. The ML backend SDK turns any model into a connected web server for pre-annotation (model predicts, humans verify), interactive labeling (real-time predictions as annotators draw regions or highlight text), and model evaluation - cutting annotation time dramatically on large datasets. Data imports from S3, GCS, or file uploads; the Data Manager filters and explores tasks; exports convert to the format your ML library expects via label-studio-converter. Multi-user accounts tie every annotation to its author, and webhooks, a Python SDK, and REST API embed labeling into any pipeline. Self-hosting keeps proprietary training data - often a company's most sensitive asset - entirely on your infrastructure.

Deploy
Budibase screenshot thumbnail

Budibase

Step right up to the magical world of Budibase, the open-source wizardry that turns the grueling task of building internal tools into a walk in the digital park. Imagine crafting mighty tools and formidable forms in less time than it takes to brew a cup of coffee, all without typing a single line of code! With Budibase, you can charm data from an ancient external database, summon information from a Rest API, conjure up figures from a CSV, or create something entirely new with Budibase's own mystical database. Design your digital dominion with a flick of the drag-and-drop, and automate your kingdom's workflows as if by magic. Join the ranks of the 75,000 teams who've harnessed the power of Budibase to accelerate their business quests. Need to safeguard data like a digital fortress, automate tasks like a sorcerer, or streamline operations like a high-speed chariot? Budibase is your trusty steed in the race to operational victory. And with RepoCloud hosting, you'll save a treasure chest of gold compared to those other cloud-dwelling giants!

Deploy
InvokeAI screenshot thumbnail

InvokeAI

With over 27,500 GitHub stars, 350 contributors, and 220 releases since 2022, InvokeAI delivers an industry-leading creative engine that serves as the foundation for multiple commercial AI art products. The web-based UI supports an extensive model ecosystem including Stable Diffusion 1.5 through 3.5, SDXL, Flux.1 Dev, Flux.1 Schnell, Flux.1 Kontext, Flux.2 Klein 4B and 9B, CogView 4, Z-Image, Anima, and Qwen Image — plus externally-hosted models from OpenAI GPT Image, Google Gemini, BytePlus, and Alibaba Cloud via API key integration. The Unified Canvas provides a fully integrated workspace with in-painting, out-painting, brush tools, layer management, and regional guidance for compositing AI-generated content with existing artwork. The node-based Workflow Editor enables building complex generation pipelines with branching logic, connecting text encoders, VAEs, ControlNets, IP-Adapters, and LoRA weights into reusable graphs. Model management handles automatic downloading from HuggingFace and Civitai with conversion between safetensors, diffusers, and checkpoint formats. The backend runs on Python with CUDA, ROCm, and MPS acceleration supporting NVIDIA, AMD, and Apple Silicon GPUs. Multi-user accounts allow shared access to a single InvokeAI server with per-user galleries and settings. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Deploy
Pixelle Video screenshot thumbnail

Pixelle Video

Backed by Alibaba's AIDC team and carrying over 27,700 GitHub stars, Pixelle-Video turns a single text prompt into a publish-ready short video in approximately three minutes — handling scriptwriting, image generation, voice narration, music selection, subtitle overlay, and final MP4 export in one automated pipeline. The engine supports multiple LLM backends for script generation including GPT-4, Qwen, DeepSeek, and local Ollama deployments, while image and video creation routes through either self-hosted ComfyUI workflows, cloud-based RunningHub pipelines, or direct API connections to DashScope Wan, OpenAI, Seedream, Seedance, and Kling AI. Text-to-speech synthesis uses Edge-TTS, Index-TTS, and other mainstream engines with multi-language voice profiles. Five distinct pipelines cover Quick Create, Standard, Digital Human Avatar broadcasting, Image-to-Video transformation, and Motion Transfer from reference video. The Streamlit web UI on port 8501 provides a visual workflow builder with template selection across portrait (1080x1920), landscape (1920x1080), and square formats, while the FastAPI server on port 8000 exposes a REST API with endpoints for async video generation, task polling, content scripting, TTS and image generation, template listing, and health checks. History persistence tracks all completed generations. HTML-based visual templates support static, image-overlay, and AI-video styles with customizable prompt prefixes. The modular architecture lets operators swap any atomic capability — image model, video model, TTS engine, or VLM — by editing a workflow JSON file without touching Python code. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Deploy
Kestra screenshot thumbnail

Kestra

With over 27,000 GitHub stars and an ecosystem of 1,900+ plugins covering every major cloud provider, database, and SaaS platform, Kestra is the orchestration engine that brings Infrastructure as Code principles to workflow automation — defining complex multi-step pipelines in readable YAML that execute across any language, runtime, or infrastructure boundary. The built-in VS Code-style editor provides syntax highlighting, auto-completion, real-time validation, and an AI Copilot that generates workflow YAML from natural language descriptions. Tasks execute in Python, Node.js, Go, R, Shell, SQL, or any Docker container, with event-driven triggers listening for file arrivals on SFTP and cloud storage, messages from Kafka, Redis, Pulsar, AMQP, MQTT, NATS, AWS SQS, Google Pub/Sub, and Azure Event Hubs in real time. The topology view visualizes workflow DAGs with execution state, duration, and output artifacts for each task node. Namespaces organize workflows into isolated environments with configurable secrets, while subflows enable modular composition with inputs, outputs, and conditional branching. Retry policies, timeouts, error handlers, and automatic backfills for missed schedules ensure reliability across production workloads. Git integration pushes workflows directly to branches from the UI with CI/CD pipeline support for automated deployment. The REST API enables programmatic workflow management, execution triggering, and resource provisioning. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Deploy