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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

AdminForth logo
AdminForth
✓ verifiedFree

Open-source, agent-first admin-panel framework for Vue3/Node.js with auth, plugins and AI features to build back-office panels fast.

2.1K visits/mo
Rerun logo
Rerun
✓ verifiedFreemium

Open-source SDK and viewer for logging, querying, and visualizing multimodal robotics data, with a paid managed Hub for scale.

88K visits/mo
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pricing

No public pricing

Open Source SDK: Free (Apache-2.0/MIT)
Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Core features
  • CRUD admin panel from a database URL
  • Vue3 components and Tailwind theming with dark mode
  • Auth plugins: OAuth2/SSO, TOTP/WebAuthn 2FA
  • Audit log, S3 upload and CSV import/export plugins
  • AI plugins for autocomplete, translation and bulk data
  • Custom pages, dashboards and background jobs
  • Open-source Python, Rust, and C++ logging SDK
  • Interactive desktop and web viewer for reviewing recordings
  • SQL and dataframe queries across logged data
  • Column-chunk .rrd storage format for multimodal data
  • PyTorch dataloader for training directly on recordings
  • Commercial Hub with managed catalog, SSO, and byte-range indexing
  • Used in robotics projects like LeRobot, Brush, and PyCuVSLAM
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
Use cases
  • Developers building internal back-office tools
  • Adding an admin panel to an existing database
  • Creating AI/agent-assisted back-office workflows
  • Self-hosting a customizable admin UI
  • Robotics teams debugging calibration and training runs
  • Visualizing and querying large multimodal sensor datasets
  • Streaming training data mixes directly to GPUs at scale
  • Sharing annotated recordings across a robotics engineering team
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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