With over 38,000 GitHub stars, nearly one million registered users, and over 1.3 million resumes created, Reactive Resume delivers a professional resume creation experience that rivals commercial platforms like Resume.io and Zety without collecting user data, showing advertisements, or imposing paywall restrictions. The real-time WYSIWYG editor renders changes instantly as users type, providing immediate visual feedback across all resume sections including work experience, education, skills, certifications, projects, and custom sections with typed extensions. Over fifteen professionally designed templates with full color customization, font selection, spacing adjustment, and icon style selectors ensure each resume reflects individual style preferences. The drag-and-drop system lets users move items between sections and pages freely across multi-column and full-width layouts. PDF generation produces pixel-perfect documents using a headless Chromium rendering pipeline, ensuring consistent output across all devices and print settings. Multi-language support covers over twenty languages with RTL script handling for Arabic and Hebrew. Authentication supports passkeys and multiple OAuth providers via Better Auth, while self-hosted deployment runs via Docker Compose with PostgreSQL and Browserless for PDF rendering. The import system accepts JSON Resume format, LinkedIn data exports, and PDF/DOCX files when AI integration is configured. AI-powered content suggestions using OpenAI, Google Gemini, Anthropic Claude, or local Ollama models help improve bullet points and professional summaries. A CSS editor with autocompletion allows fine-grained styling control. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

JobSpy API turns seven major job boards into a single REST endpoint, aggregating listings from LinkedIn, Indeed, Glassdoor, Google Jobs, ZipRecruiter, Bayt, and Naukri through one GET request. Built on FastAPI with the Python JobSpy scraping library, the API returns structured JSON or downloadable CSV containing job titles, companies, locations, salaries, descriptions, posting dates, and direct application URLs. Filters cover search terms, location, distance radius, job type (full-time, part-time, contract, internship), remote status, hours since posting, country, and salary range. Interactive Swagger UI and ReDoc interfaces provide try-it-now functionality for testing queries directly in the browser. Security includes x-api-key header authentication with configurable rotation, per-endpoint rate limiting with adjustable thresholds, and response caching with configurable TTL to reduce redundant scraping. Global proxy support routes outbound requests through HTTP/HTTPS proxies to avoid IP-based rate limiting from job boards. Environment variables control everything from default search parameters and logging levels to CORS origins and documentation paths. Health check and ping endpoints integrate with uptime monitoring services. Docker Compose exposes the API on a configurable port. MIT licensed.

The first AI-enabled open-source Human Capital Management system built for the agentic era — not a legacy HRMS with AI features bolted on, but a platform architected from the ground up with native MCP, A2A, and WebMCP protocols enabling any LLM client to query employee records, create calendar entries, and orchestrate multi-step HR workflows. Built on the battle-tested SuiteCRM/SugarCRM CE foundation and extended with 17 dedicated HR modules — recruitment pipeline with candidate scoring, onboarding checklists, competency matrices, employment history tracking, leave management with accrual policies, time and attendance, resource booking, travel and expense reporting, workplace management, performance evaluations, job description builder, employer branding campaigns, offboarding workflows, and a configurable analytics engine — all controlled through granular role-based permissions. The integrated LangGraph-powered AI agent operates with human-in-the-loop confirmation before mutating data, while the MCP server layer exposes structured HR operations to Claude Desktop, GitHub Copilot, and any MCP-compatible client. Native REST API enables integration with SAP, Workday, and custom applications. Mobile apps for iOS and Android provide field access to employee data and approvals. Runs on Apache2 with PHP 8.2, MySQL 8.0 or MariaDB, and ElasticSearch 7.10+ for full-text search and list indexing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL v3 licensed.

New hires fail from information overload and IT bottlenecks, not lack of goodwill - the observation behind ChiefOnboarding, a free, open-source employee onboarding platform (Django, Celery, PostgreSQL, Redis). Its answer is sequences - drag-and-drop timelines that drip-feed to-do items, resources, courses, forms, and badges to each new hire, triggered by dates or by completing a previous item, so nobody faces everything at once. Onboarding starts before day one: preboarding pages welcome hires early, and colleagues can leave personal messages that appear there. The account provisioning module creates the new hire's Slack, Google, Asana, and other accounts automatically on the scheduled day via a library of integrations plus custom webhooks - the IT ticket queue never gets involved. Everything works through two equivalent interfaces: a full web dashboard and a Slack bot, either usable standalone. Slack can even auto-create new hire accounts when someone joins the workspace and assign default sequences with zero manual action. Colleague tasks with comments and collaboration, a searchable people directory, scheduled introductions, and per-hire timezone awareness (no 3 a.m. notifications) round it out. No trackers, no phoning home - third-party credentials sit in encrypted fields on your server.

Ever Gauzy consolidates ERP invoicing, CRM sales pipelines, HRM employee records, applicant tracking, and project management into one full-stack TypeScript platform, eliminating the need to stitch together five separate SaaS subscriptions. Over 4,300 GitHub stars and 3,800+ releases back a CQRS architecture that separates command and query responsibilities across modules for invoices, expenses, payments, inventory, contacts, leads, deals, employee onboarding, candidate interviews, hiring workflows, sprints, goals, and KPI tracking. Time tracking captures hours via web timer, Electron desktop timer with activity monitoring and automatic screenshot capture, or browser extension, with timesheet submission and approval workflows supporting billable hour classification across Hubstaff and Upwork integrations. The multi-tenant architecture provides automatic tenant scoping with role-based permissions, while dual ORM support through TypeORM and MikroORM with Knex query builder ensures database flexibility across PostgreSQL, MySQL, and MariaDB. REST APIs documented with OpenAPI and Swagger expose every module for headless operation, complemented by an MCP server offering 323 tools for AI assistant integration. The Angular 19 dashboard provides dark, light, corporate, and material themes with i18n across 10 languages via Crowdin. Supports Docker, Kubernetes, Terraform, and Pulumi deployment with Redis caching and OpenSearch full-text indexing. 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.

Airtable's spreadsheet-database model, self-hostable and open-source: that is Baserow. It presents data in a spreadsheet-style grid, but underneath each table is a real relational structure with typed fields, links between tables, filters, sorts, and multiple views (grid, gallery, form, kanban, calendar). Beyond the database core, it includes an application builder for composing pages and portals on your data, workflow automations, and dashboards. Everything is API-first: each table exposes a REST endpoint with token auth and webhooks, so it plugs directly into n8n, Zapier, or custom scripts. The stack is Django (Python) on the backend, Vue.js on the frontend, PostgreSQL for storage, with Redis for async tasks. Core features are MIT-licensed; premium features are a paid add-on. The self-hosted version has no row, storage, or API request limits - Airtable's per-base record caps and monthly API quotas simply don't exist here, and capacity is bounded only by your PostgreSQL database and disk. Existing Airtable bases, CSVs, and Excel files import directly with structure preserved, so migration doesn't start from a blank slate, and both the backend and frontend support plugins for custom field types and integrations without forking the core. For non-technical teammates the interface behaves like a spreadsheet; for engineers, the data model is the API.

An Airtable-style spreadsheet interface directly on PostgreSQL: Teable is an open-source no-code database where every table is a real Postgres table. Unlike tools that store records in a metadata abstraction layer, every Teable table is a real Postgres table with standard column types, so filtering, sorting, and grouping run at database speed, million-row tables answer complex filters in roughly 200 milliseconds without index tuning, and any PostgreSQL-compatible tool - psql, BI dashboards, ETL pipelines - can query the same data directly. The interface offers Grid, Kanban, Gallery, Calendar, and Form views as non-destructive overlays with their own filters and hidden fields, plus 20+ field types, formulas, comments, attachments, batch editing, undo/redo, and edit history. Collaboration is real-time with live cursors and instant sync across views, backed by Redis, and a REST API is auto-generated per table, largely compatible with Airtable API clients - alongside native SQL access for BI tools, analytics pipelines, and your own applications to JOIN and query directly, with no exports, API rate limits, or sync jobs. Global search spans all records, chart plugins handle quick visualization, and CSV and Excel import/export cover migrations. Where Airtable caps paid plans at 100K-500K rows and charges roughly $20 per user per month, a self-hosted Teable instance has neither limit: the Postgres database itself is the export if you ever leave. Built in TypeScript with NestJS, deployed via Docker with PostgreSQL and Redis, and licensed AGPL-3.0.

With over 70,000 GitHub stars and billions of documents indexed across enterprises like Uber, Netflix, and Wikipedia, Elasticsearch is the world's most deployed search engine, powering everything from application search to security analytics and AI-driven retrieval. Built on Apache Lucene, its inverted index architecture delivers sub-second full-text search across terabytes of data with BM25 relevance scoring, configurable analyzers for 30+ languages, and fuzzy matching for typo tolerance. The kNN vector search API uses the HNSW algorithm for approximate nearest neighbor queries on dense and sparse embeddings up to 4,096 dimensions, while reciprocal rank fusion enables hybrid search that combines lexical and semantic signals in a single query. Elasticsearch's aggregation framework supports metric, bucket, and pipeline aggregations for real-time analytics directly on indexed data without separate OLAP infrastructure. The cluster distributes data across shards with automatic rebalancing, replica allocation, and cross-cluster search for multi-datacenter deployments. Kibana provides the visualization layer with dashboards, Lens visual editor, Canvas for pixel-perfect reports, and Discover for ad-hoc log exploration. Ingest pipelines with processors like grok, dissect, GeoIP enrichment, and inference handle data transformation at index time, and ES|QL brings pipe-based query syntax with joins and columnar processing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL v3 licensed.

With nearly 12,000 GitHub stars and a lineage tracing back to Sphinx Search, Manticore Search is the C++ search database that delivers the full-text, vector, and hybrid search capabilities of Elasticsearch at a fraction of the resource cost — starting in under a second and consuming just 40MB RAM for an empty instance. The SQL-first interface speaks the MySQL wire protocol, meaning mysql client, MySQL Workbench, and any MySQL-compatible driver connects natively without adapters, while the HTTP JSON API provides RESTful access for modern applications. Over 20 full-text operators handle proximity search, quorum matching, field-start and field-end constraints, MAYBE operators, and regex patterns, backed by stemming, lemmatization, stopwords, synonyms, wordforms, and advanced morphology in 70+ languages. Vector search with HNSW indexing enables semantic similarity queries, and hybrid mode combines keyword relevance with vector distance in a single ranked result set using a cost-based query optimizer. Real-time indexing delivers sub-second document availability after insert, sharded tables distribute data across nodes, and Galera-based synchronous replication ensures high availability. Conversational search via CREATE CHAT MODEL and CALL CHAT integrates LLM-backed responses with KNN retrieval and conversation history directly inside the database. Client libraries ship for PHP, Python, JavaScript, TypeScript, Java, Go, Rust, and Elixir. Columnar storage via the Manticore Columnar Library handles analytical workloads on large datasets. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPLv3 licensed.

OpenSearch is a search and analytics platforms, powering full-text search, log analytics, observability, and AI-powered vector retrieval at petabyte scale. The distributed engine provides BM25 full-text search alongside k-NN vector search using NMSLIB, Faiss, and Lucene libraries, enabling semantic search, hybrid search combining keyword and vector scoring through normalization processors, neural sparse search, and retrieval-augmented generation workflows with built-in ML Commons for model hosting. OpenSearch Dashboards delivers interactive visualization with Discover for log exploration, custom dashboards, alerting, anomaly detection using Random Cut Forest algorithms, and Security Analytics with detection rules mapped to MITRE ATT&CK. Native Prometheus integration with full PromQL support unifies metrics alongside logs and traces in a single observability interface, while Data Prepper handles telemetry ingestion from OpenTelemetry collectors, Fluent Bit, and Logstash-compatible pipelines. SQL and Piped Processing Language queries with a visual PPL builder enable analysts to query data without learning the native DSL. Index State Management automates index lifecycle with rollover, shrink, and delete policies, while cross-cluster replication and searchable snapshots on S3-compatible storage provide disaster recovery. Scoped API keys, field-level security, document-level security, and audit logging deliver enterprise-grade access control. Docker Compose deploys multi-node clusters alongside the Kubernetes operator for orchestrated production environments. 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.