Its author, a student and WakaTime fan, didn't want to pay $9/month for data about his own keystrokes - so Wakapi was born, a self-hosted, WakaTime-compatible backend for coding statistics. The compatibility is the killer design decision: the official WakaTime plugins for VS Code, JetBrains IDEs, Vim, and dozens of other editors work unmodified - just point the plugin's API URL at your Wakapi instance with your personal key, and heartbeats flow to your server instead of a third party's. Duration inference matches WakaTime's own algorithm, with a configurable timeout (10 minutes by default). From that stream Wakapi builds statistics and plots across projects, languages, editors, hosts, and operating systems, plus the fun extras: public leaderboards (optionally login-gated, with configurable aggregation windows), badges for GitHub readmes, and weekly email reports. A REST API serves your data programmatically, Prometheus export feeds your existing Grafana, and a WakaTime relay mode can mirror heartbeats to both services during migration - with one-click import of historical WakaTime data. Written in Go, it is lightning fast and light enough for the smallest instance, storing to SQLite, PostgreSQL, or MySQL, with configurable data retention for GDPR peace of mind. Deliberately smaller than WakaTime, deliberately yours.

DevTrack turns your GitHub activity into a living dashboard of commit streaks, pull-request analytics, and goals that quietly update themselves. Sign in with GitHub and your last year appears as a contribution heatmap you can filter by repository and language, next to the streak you are protecting and the freeze you are saving for a holiday. Pull requests get the honest treatment: merge rate, average review time, and open-versus-closed breakdowns that show whether reviews or authors are the bottleneck. Weekly and monthly goals fill themselves in from live activity, while the consistency score and activity rings tell you whether your rhythm is steady or heroic but rare. When you want the story told back to you, an AI mentor who knows your history offers guidance, a résumé generator builds an ATS-friendly CV from merged pull requests for the role you name, and a weekly summary explains your own graphs in plain words. Opt into the public leaderboard to rank your streak, commits, and PRs against other developers, or keep everything private and share only the profile page and embeddable badges you choose. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 1,600 GitHub stars and a design philosophy that fundamentally rethinks how time tracking should work, Traggo abandons the traditional project-task hierarchy that forces your work into rigid categories and instead lets you tag time spans with arbitrary key-value pairs — project:website, type:coding, client:acme, billable:yes — enabling cross-dimensional analysis that conventional trackers cannot replicate. The Go backend compiles into a single binary that runs alongside a SQLite database and embedded web UI in under 10MB total, consuming approximately 50MB of RAM at runtime and starting in seconds on even the smallest VPS. Tags are the fundamental data model: create any tag key with any set of values, then apply multiple tags to each time span simultaneously to track by project, client, task type, energy level, or any other dimension your workflow demands. Customizable dashboards render pie charts, bar charts, and line graphs from tag-aggregated data, letting you visualize time distribution across any combination of dimensions over configurable date ranges. The calendar view displays time spans as colored blocks across days and weeks, while the list view provides chronological entry browsing with inline editing. Multiple themes including light and dark modes adapt the interface to personal preference, and simple user management with role-based access supports small team deployments. Docker deployment runs a single container exposing port 3030 with multi-architecture support for amd64, arm64, and arm v7. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Freelancers, consultants, and solo workers get an accurate record of their hours from TimeTagger, a time tracker that logs tagged tasks on an interactive timeline and summarizes them as billable reports. Press S, type a description, and hit Enter to start the clock without the mouse, or drag across the timeline to log finished work. Hashtags in a description become autocompleting tags, with no projects to set up. Renaming a tag updates every record that uses it. Drag a record's edges to fix its times, then zoom the timeline out to a week or month with mouse, touch, or arrow keys. An overview panel totals time per tag combination for the selected range, and the Report button saves it as a client-ready PDF or a CSV with decimal hours. Daily, weekly, and monthly targets track progress toward your goals, and an optional Pomodoro timer alternates work and break periods with an alarm and a notification. Settings add a dark theme, local date notations, a Monday-to-Friday week, and a day offset for night shifts. The interface adapts from desktop to phone, installs as a progressive web app, works offline, and syncs records across devices once the connection returns. A web API and a command-line client let you query, create, and update records from scripts or the terminal. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Solidtime is a time tracker for freelancers and agencies, offering a modern SaaS-quality interface that rivals commercial tools like Toggl and Clockify. The time tracking interface provides a running timer, calendar view, and weekly timesheet for flexible entry across desktop, mobile, and the dedicated macOS, Windows, and Linux desktop applications. Project management organizes work by client with hierarchical billable rates configurable at organization, member, project, and project-member levels, ensuring accurate billing across complex team structures. The invoicing module generates polished PDF invoices and structured EU e-invoices with configurable VAT rates, percentage and fixed discounts, EU reverse-charge handling, reusable company templates, and automatic line item generation from billable time entries. Reporting provides filterable summaries by user, project, client, and date range with exportable data for billing audits and team retrospectives. Multi-organization support manages separate workspaces from a single account with role-based permissions controlling access across organizations. Data import from Toggl, Clockify, and generic Timeentry CSV files enables migration from existing tools without losing historical records. The RESTful API with bearer token authentication enables automation and integration with external services. Docker deployment with PostgreSQL runs behind Nginx or Traefik reverse proxy. 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.

From a freelancer logging billable hours to companies with hundreds of users, Kimai scales professional-grade open-source time tracking - a Symfony/PHP application without the per-seat pricing of Harvest or Toggl. Tracking is flexible by design: run multiple concurrent timers, use punch-in/punch-out mode, or enter times manually, organized by customer, project, and activity with tags, and priced by user-, customer-, or project-specific rates. The billing pipeline is where Kimai earns "professional grade": generate invoices directly from timesheet data with configurable templates (DOCX, ODS, XLSX, PDF), entry grouping, and invoice-number generators, while an export flag locks billed records against editing and excludes them from future invoices - the audit-safety detail spreadsheet workflows never get right. E-invoicing supports EN 16931, XRechnung 3.0, and Zugferd/Factur-X. Enterprise controls come standard: SAML and LDAP login against Google Workspace, Azure AD, or Authentik, TOTP two-factor auth, customizable role permissions, and teams that scope customers and projects to departments. Money and time budgets alert before overruns, advanced reporting slices recorded time by any dimension, and an extensive JSON API plus a plugin marketplace (expenses, approvals, and more) integrate it with existing infrastructure. Over 30 translations, multi-timezone, AGPL-licensed.

For agencies that bill by the hour, Miru replaces the stitched-together timer, spreadsheet, invoicing app, and payment tool whose numbers never quite agree. It puts the whole money workflow in one place, from the first tracked minute to the paid invoice. Start a timer or log time against a project, then turn the accumulated billable hours into an invoice without retyping a single line. Log expenses as they happen, attach them to the right client work, and review them before they reach an invoice. Send the invoice and collect through Stripe or PayPal, watching status and amounts from a single cash flow view instead of chasing payment threads. The dashboard keeps revenue, active projects, and team momentum visible at a glance, while reports break down utilization and aging so overdue money gets a follow-up before it gets forgotten. Manage clients, projects, and team members with their roles in the same system that records their hours, and keep employee records and payroll reminders alongside the billing data they support. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Why export timesheets from one tool, manage Kanban tasks in a second, and copy billable hours into a third just to send a client invoice when TimeTracker handles the entire agency workflow in one self-hosted platform? Start a persistent server-side timer from any browser or log hours manually using saved templates, bulk entry forms, and automatic idle detection. Project managers organize deliverables across drag-and-drop Kanban boards, Gantt timelines, and threaded task comments while monitoring real-time project budgets and cost burn rates. A built-in CRM tracks client contacts, lead scores, and sales pipeline stages before work even begins. When billing day arrives, you convert unbilled hours, reimbursable receipts, mileage logs, and per diem allowances directly into branded multi-currency invoices without double-billing a single minute. Finance teams can customize PDF invoice layouts, automate recurring billing schedules, and transmit EN 16931 compliant electronic invoices via Peppol or embedded ZUGFeRD/Factur-X XML. Interactive analytics dashboards and scheduled CSV or Excel exports give every stakeholder complete visibility into billable utilization. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Super Productivity eliminates the context switching between issue trackers, calendars, and timer apps that fragments developer focus, pulling tasks from Jira, GitHub, GitLab, Gitea, OpenProject, Linear, ClickUp, Trello, and Azure DevOps into one local-first interface. With 21,000+ stars and availability across web, desktop, Android, and iOS, it syncs issue status, subtasks, and time logs bidirectionally so sprint planning and worklog submission happen without leaving the app. CalDAV integration pulls calendar events into your task timeline for visual timeboxing. Built-in Pomodoro and Flowmodoro timers enforce focused intervals with configurable break schedules. Data stays under your control in browser IndexedDB by default, with optional AES-encrypted sync via WebDAV, Nextcloud, Dropbox, or the SuperSync server ensuring no task data touches infrastructure you do not own. The extensible plugin system supports JavaScript-based custom panels, automations, and MCP plugins for AI workflows. A REST API on port 3876 enables external script integration for desktop automation. Time tracking generates exportable timesheets compatible with corporate reporting systems. The Docker container serves the Angular PWA through Nginx on port 80, consuming roughly 50 MB of RAM. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

GitHub forgets your traffic after fourteen days; ghstats remembers it for years. This self-hosted dashboard polls the GitHub API every hour and keeps views, clones, stars, forks, issues, and pull requests for every repository in its own database, long after the built-in traffic tab has rolled over. Open a repository to see its charts for stars, clones, and views next to top referrers and popular paths, filter the list by owner, name, forks, or archived status, and include private repositories when your token allows it. Public stats pages and portfolios reuse the same numbers through a JSON API, embeddable SVG badges for views, clones, and star velocity, and cards ranking your top repositories or showing star history across projects. Release download counts accumulate as daily snapshots too, so a launch spike stays visible months later. The whole service is one small Docker image on port 8080 with a single file for storage, easy to back up and easy to move. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Software developers running Claude Code, Cursor, Codex, and Aider use AgentsView to trace token expenditures, search full session transcripts, and analyze multi-agent concurrency timelines. Engineers can search through historical developer sessions to locate specific code modifications, prompt chains, or debugging rationales across extensive programming workflows. The real-time activity timeline visualizes concurrent agent operations, revealing peak execution windows, task run durations, and automated tool invocations. The usage analytics engine calculates financial costs and token volumes per model by applying live pricing tables while accounting for prompt caching read discounts. Developers inspect granular turn-by-turn session transcripts complete with raw model payloads, file difference diffs, executed shell commands, and syntax errors. The recall browser extracts key technical context from past programming sessions, organizing facts into an indexed reference knowledge corpus for reuse across future project tasks. Administrators can replicate SQLite session tables into DuckDB analytics files or PostgreSQL warehouses to query longitudinal metrics using SQL analytical tools or custom reporting scripts. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

The de facto dashboard of observability: Grafana is the open-source frontend that turns the data stores you already run into interactive graphs. It does not store metrics itself; it connects to the data stores you already run and turns their contents into interactive dashboards. Supported sources number over 150 via plugins: Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, MySQL, PostgreSQL, Microsoft SQL Server, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, and many more. Dashboards are built from a large library of panel types (time series, heatmaps, tables, gauges, logs) with template variables for reusable, parameterized views. Unified alerting evaluates rules against any connected data source, not just Prometheus, and routes notifications to Slack, PagerDuty, email, and other channels with grouping and silencing - unlike Prometheus Alertmanager, a single rule can combine a Loki log pattern, a PostgreSQL query result, and a CloudWatch metric. Dashboards serialize to JSON and data sources configure via provisioning files, so the entire observability setup can live in Git and deploy repeatably across environments. Explore mode adds ad-hoc querying outside dashboards, with split view for correlating a metric spike against the matching log lines, and access control spans organizations, teams, folder permissions, and OAuth, LDAP, and SAML integration. Written in Go and TypeScript, AGPL-licensed. Self-hosting gives you unlimited users, dashboards, and queries at flat hosting cost, without Grafana Cloud's usage-based pricing.