MeterSphere is the open-source continuous testing platform that brings test management, API testing, and AI-powered automation into a single self-hosted environment. The Spring Boot Java backend handles test execution with the JMeter engine while the Vue.js frontend delivers a responsive interface for managing test cases, plans, defects, and reports across projects. The built-in AI assistant leverages large language models to auto-generate functional test cases and API interface definitions, reducing manual test creation effort. Test management covers the complete lifecycle from writing and reviewing cases in list or mind-map views, through test plan creation with single plans and plan groups, to defect tracking with customizable templates and workflow rules. API testing combines Postman-like ease of use with JMeter-level flexibility, supporting interface debugging with server-side and local execution, API definition with visual request and response editors, interface mocking with configurable headers and body parameters, scenario automation with visual orchestration, and detailed test reports with automatic generation. The system-organization-project hierarchy supports up to 30 users in the community edition with role-based access control, file management, and configurable notification channels. MySQL stores application data, Kafka handles message queuing, MinIO provides S3-compatible object storage, and Redis manages caching. The plugin marketplace extends testing capabilities and enables DevOps pipeline integration. On RepoCloud, deploy MeterSphere on a dedicated VPS with Docker, root SSH access, and complete control over your testing infrastructure, all under the GPLv3 license.

Every bug a team finds, from the first report to the day it is marked resolved, lives in one shared list in MantisBT, an open-source issue tracker. Reporters file issues with a summary, steps to reproduce, severity, and attachments, and email notifications reach the reporter, the handler, monitors, and note authors. Six access levels, from viewer to administrator, can be overridden project by project, and private projects stay hidden from users below the configured level. Administrators define their own status values, workflow transitions, and custom fields. Sub-projects inherit versions and categories from their parents, and issues link as related, parent and child, or duplicates. @mentions pull colleagues into a discussion, tags group related work, and a chronological history records who changed what. Triage works from stored and shared filters, the My View page, and summary charts, while a roadmap and changelog track what each version contains. Reporting comes through CSV and Excel export, optional time tracking with billing totals, and RSS feeds. Sign-in can use LDAP or Active Directory, scripts reach the tracker through REST and SOAP APIs, plugins extend the interface, and 50 languages are included. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0-or-later licensed.

draw.io is a free, browser-based diagramming editor for flowcharts, network maps, UML models, and org charts, with nothing to install. An infinite canvas takes shapes from extensive libraries, connectors reroute automatically as shapes move, and ready-made templates replace the blank page. Tables, swimlanes, layers, and tags keep large diagrams tidy, and shape metadata and placeholders attach tooltips, links, and translations. Auto-layout straightens flowcharts and trees. Math typesetting, a simple whiteboard layout, and adaptive dark mode are built in, and custom shape libraries carry your own in-house icon sets. Export to PNG, JPEG, WebP, SVG, HTML, or PDF, embed the diagram data inside PNG and SVG files so they stay editable, or save the full diagram as a .drawio file. Your server stores no diagrams: files go to the user's device, the browser, or Google Drive, OneDrive, and GitLab once you register your own OAuth app. Optional AI diagram generation uses your own provider key, and environment variables set the interface language, fonts, and security policy. 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.

Draw it, write it as code, or hand it to your AI agent: OpenFlowKit is an open-source diagram canvas where the picture and the text behind it are always the same diagram. Drag shapes on the canvas or type a few forgiving lines, and each side regenerates the other as a single undo step. Ten diagram types share that one language: architecture with C4 views and cloud icons, sequence, flowchart, entity-relationship, state, class, mind maps, git graphs, charts, and wireframes. Paste Mermaid, Structurizr, or D2 and it converts into editable shapes, and Copy as Mermaid sends a flowchart or sequence back out for your README. Paste a GitHub repository instead and Map mode draws its architecture for you, with every arrow citing the exact file and line behind it, and a CLI that maps a local checkout for private repos. Connect Claude Code, Cursor, or any MCP client and the agent draws on your live canvas, restyles what is there, and screenshots its own work to check it. A built-in assistant works with your own key from Claude, OpenAI, Gemini, Groq, Mistral, OpenRouter, or a local Ollama, and exports cover PNG, SVG, PDF, JSON, and animated SVG, GIF, MP4, or WebM you can drop into documentation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Paste one SQL query result into a browser and get an interactive entity-relationship diagram instantly, with no installations, no credentials, and no account required. ChartDB's "Smart Query" runs a single statement in your existing database client that exports table definitions, relationships, indexes, and column types as JSON metadata, meaning the application never touches your database passwords. The canvas renders draggable entities with cardinality markers, collapsible grouping areas, and sticky notes for documentation. AI-powered DDL export generates migration scripts between dialect pairs like PostgreSQL to MySQL or SQLite to CockroachDB, analyzing your schema to produce target-specific DDL with correct type mappings and constraint translations. Import paths cover Smart Query JSON, raw DDL scripts, and DBML files from tools like dbdiagram.io. The AI layer connects to OpenAI or any compatible inference server including local vLLM instances running models like Qwen2.5-32B. Database coverage includes PostgreSQL (with Supabase and Timescale extensions), MySQL, SQL Server, MariaDB, SQLite (with Cloudflare D1), CockroachDB, ClickHouse, and Oracle. Exports to SVG with inline styles or SQL DDL in any target dialect. Ships as a React/Vite frontend behind Nginx in Docker, deployable on RepoCloud with dedicated VPS resources under the AGPL-3.0 license.

Inheriting a sprawling database with hundreds of undocumented tables usually means weeks of guesswork, unless you open it in Azimutt to visually map schemas, trace relationships, and inspect live rows in one workspace. Instead of dumping every table onto a cluttered canvas that crashes your browser, the visual explorer starts clean so you can search across entity names, column types, and SQL comments to reveal only the tables relevant to your investigation. Clicking foreign-key or primary-key indicators expands incoming and outgoing relations step by step, while the graph path-finder automatically calculates the shortest join route between any two distant entities. When debugging production issues or answering support tickets, you can query live records across PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, MongoDB, Couchbase, Snowflake, and BigQuery, then click directly through foreign keys in the result rows to follow data lineage visually. Architects and developers also design new schemas at typing speed using Azimutt Markup Language (AML), attach contextual markdown notes, tags, and memos to saved layouts for team onboarding, and run automated schema analysis that flags missing primary keys, implicit foreign keys, inconsistent column types, and oversized tables. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Schema design with no account and a few clicks: drawDB is the browser-based entity-relationship diagram editor and SQL generator - an AGPL-3.0 React project with over 37,000 GitHub stars. Draw tables with columns, data types, defaults, and constraints; connect fields to create foreign-key relationships; group tables into labeled subject areas; and annotate with notes. When the design is ready, one export produces CREATE TABLE DDL - with constraints, indexes, and foreign keys - targeted at MySQL, PostgreSQL, SQLite, MariaDB, SQL Server, or Oracle. Diagrams can be database-specific, unlocking every native type plus dialect features like PostgreSQL enums and composite custom types, or generic for portability across all supported flavors. The reverse direction works too: paste existing DDL into the import dialog and drawDB renders your live schema as a navigable diagram - the fastest way to document an inherited database. Versioning and migration-script generation track schema evolution, full editor ergonomics (undo/redo, copy/paste, duplicate, themes) keep iteration fast, and diagrams export as PNG, SVG, or shareable JSON. Everything runs client-side against browser storage - no backend database connection needed - so the self-hosted Docker deployment is a featherweight static app that keeps proprietary schema designs entirely on your infrastructure.

Microcks turns your API specifications into living mocks and contract tests, so teams can develop and verify against an API long before the real implementation exists. Feed it OpenAPI, AsyncAPI, GraphQL schemas, gRPC Protobuf files, Postman collections, or SoapUI projects, and it immediately publishes mock endpoints that answer with realistic examples drawn from the specification itself. Dispatching rules route requests by path, query parameters, headers, body content, or XPath and Groovy expressions, while content negotiation and templating functions shape each response to look convincingly real. Event-driven APIs get the same treatment, with AsyncAPI mocks that publish messages to Kafka topics or WebSocket channels your consumers can subscribe to during development. When an implementation shows up, contract tests replay the recorded expectations against the live service and report every mismatch, down to the exact request and response that failed. Run those tests from the web interface, on a schedule, or from CI pipelines with the command-line client, and wire importers to rescan your Git repositories so new specification versions appear as mocks automatically. The built-in hub adds one-click samples and reusable API packages, giving a new team a stocked repository of mockable services within minutes of the first login. 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.

Your team's work lives in boards, sprints, and deadlines, and TaskView keeps all of it on infrastructure you control instead of a vendor's cloud. Projects break down into lists, tasks, and nested subtasks with priorities, tags, deadlines, and assignees, arranged on custom Kanban boards whose statuses you define yourself. A dependency graph shows which tasks block which, sprints organize iterations, and recurring tasks regenerate on schedule so weekly rituals never need manual recreation. Built-in time tracking separates billable from non-billable hours, and analytics turn that data into workload reports, productivity views, and income and expense summaries. Multiple organizations share one instance with invites, granular role permissions, and real-time updates, while SAML 2.0, OpenID Connect, and SCIM provisioning plug into your existing identity provider. GitHub and GitLab integrations connect development work to the board, signed webhooks push events into your other systems, and scoped API tokens plus a TypeScript client make automation safe to hand out. An MCP server lets AI assistants search projects, create and update tasks, and manage statuses within the exact permissions you grant. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. TaskView Source-Available License licensed.

Winner of the 2015 Most Valued Agile Tool award and cited as a top project management platform by Opensource.com with over 2,100 GitHub stars on the Docker deployment repository alone, Taiga has served an estimated 20 million users worldwide with over 2 million Docker pulls since its creation in 2014 by Kaleidos. The platform delivers a complete agile project management experience through Scrum boards with backlog prioritization, sprint planning, story point estimation configurable per role, burndown charts at both project and sprint levels, and velocity tracking with a project doom-line indicator. Kanban boards offer customizable workflow columns with swimlanes, WIP limits, zoom controls, and the ability to switch between Scrum and Kanban at any point without losing data. The issue tracker supports custom types, priorities, and severities with the ability to promote issues directly to user stories. Team collaboration features include threaded comments, file attachments, email notifications, mentions, a built-in wiki for project documentation, and a team performance dashboard with the Iocane health metric for tracking team sustainability. The platform integrates with GitHub, GitLab, and Bitbucket for version control linking, provides importers for migrating from Trello and Jira, and exposes a REST API for custom integrations. Available in over 20 languages with custom fields, tags, roles, and permissions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MPL-2.0 licensed.

The most-starred open-source project management platform on GitHub with over 55,000 stars, Plane delivers what Jira, Linear, Monday, and ClickUp charge thousands per year for — issue tracking, sprint planning, documentation, and AI-powered workflows in one unified workspace that you own and control entirely. Work items feature a rich text editor with file uploads, sub-properties, custom states, priorities, labels, assignees, and cross-referencing, organized across five customizable layout views (list, board, table, spreadsheet, Gantt) with Command-K navigation for instant access to anything. Time-boxed Cycles provide sprint planning with automatic burn-down charts, velocity tracking, and scope change detection, while Modules break complex projects into manageable deliverables with progress aggregation. Built-in Pages combine AI-powered documentation with rich formatting, image embedding, and one-click conversion of notes into actionable work items. The AI layer reads across every project, cycle, document, and thread in the workspace — agents take real assignments, triage incoming requests, assign owners, track blockers, and ship status updates automatically. Native integrations connect GitHub, GitLab, Slack, Sentry, Figma, and 50+ tools with bidirectional issue sync and PR tracking, while import pipelines migrate entire workspaces from Jira, Linear, Asana, ClickUp, or Monday in minutes. The REST API with OAuth 2.0, HMAC-signed webhooks, typed SDKs in Node.js and Python, and a native MCP server enable custom automations. 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.

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.

Transform complex code repositories into searchable, interactive wikis with DeepWiki, an automated documentation platform that maps architectural relationships and provides instant answers to technical questions about any codebase. Software engineers can submit public or private repositories from GitHub, GitLab, or Bitbucket to generate comprehensive project overviews, component breakdowns, and interactive Mermaid diagrams illustrating data pipelines and class hierarchies. The built-in Ask interface allows developers to query system logic using retrieval-augmented answers grounded directly in repository source files. Teams can trigger iterative deep research sessions that perform multi-step codebase investigations to explain intricate execution paths, uncover hidden dependencies, and summarize complex algorithms across hundreds of files. Interactive Codemap tours provide guided walkthroughs of critical entry points, letting reviewers inspect synchronized code viewer panels with exact line references while onboarding to unfamiliar services. Developers can export complete wiki structures for offline sharing, customize documentation depth from high-level summaries to granular module analyses, and connect local or cloud model endpoints to process sensitive internal code securely. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Every call your AI agents make becomes a searchable trace in LangWatch, and the same platform tests and scores those agents before a new prompt or model reaches users. The Trace Explorer filters by origin, user, model, cost, and evaluator, reads each run as a waterfall, flame graph, topology, or sequence diagram, and takes traces from the Python, TypeScript, and Go SDKs or any OpenTelemetry source. Agent Testing sends simulated users, in text or beta voice calls, through your agent while a judge passes or fails every criterion with its reasoning, adds multi-turn red teaming, and compares two agents side by side. The Experiments workbench scores prompts and agents on datasets with LLM judges, exact match, and RAG checks, then compares runs on cost, latency, and pass rate, while online evaluations monitor live traffic and guardrails block unsafe replies. Prompts keep version history and staging or production tags, Workflows wire prompts, Python code, and HTTP calls on a visual canvas, and annotation queues route traces to human reviewers. Alerts fire when a graph crosses a threshold, automations post to Slack, email, or webhooks, and scheduled reports go out by email or Slack. Claude Code, Codex, Copilot, Gemini CLI, and opencode report session cost, pull request cost, and terminal replays, and an MCP server exposes trace search and prompt management to coding assistants. 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.