Twelve repositories for running your own tools

64,264 stars, the long-established framework for the same job; far more proven and far more to learn, with no adaptive selectors.

84,283 stars, covered in Edition 25; aimed at turning pages into clean text for a language model rather than at extracting specific fields.

25,911 stars, covered in Edition 25; manages the queue and the retries very well, and is JavaScript rather than Python.

155,294 stars, the same drag-and-drop idea with a stronger focus on experimenting and a lighter operations story.

about 206,000 stars, a general automation tool that has grown AI steps; broader, and its licence is also not plain open source.

55,461 stars, smaller and simpler to stand up, with less around it once an application has real users.

3,006 stars, the same idea built on Next.js; last code landed 5 June 2026, so it moves more slowly.

4,948 stars, a research project that edits a real template rather than generating from scratch, and judges its own output.

96 stars, the open part of a hosted product; its last code landed on 6 December 2024, twenty-two months ago.

39,908 stars, the large and very capable answer to the same question; far heavier to run, and its self-hosted edition is deliberately limited.

6,228 stars, a close match in ambition and smaller in scope; its last code landed 6 July 2026.

3,151 stars, a much simpler Django counter with no funnels or replay; last code 15 March 2026.

37,192 stars, covered in Edition 30; feeds, weather and machine statistics rather than a deep catalogue of service widgets.

11,570 stars, a much simpler static page from one YAML file, with no live API widgets at all.

7,208 stars, the one with a drag-and-drop editor instead of hand-edited files; its last code landed 1 June 2026.

2,947 stars, the original of this idea, running since 2013 and still taking code today; Ruby rather than one binary.

3,202 stars, adds full audit logs and view counts, so you can see who opened what and when; a larger thing to run.

3,150 stars, the same browser-side encryption and it also handles files; the closest match of the three.

20,641 stars, a JSON viewer and processor you can navigate with the keyboard; better for exploring a document, less focused on composing one filter.

6,117 stars, the closest match of the three and the busier project, with code landing on 24 September 2026.

5,503 stars, a reader for large JSON files with folding and search; it shows and does not filter.

8,625 stars, a much larger tool for the same idea with schema versioning and a cloud service behind it; more capable and more to adopt.

1,374 stars, the same declarative approach for MySQL and MariaDB only, and older at it.

3,047 stars, a PostgreSQL schema differ in Python; its own description now begins DEPRECATED and its last code landed 25 August 2025.

40,721 stars, a polished team wiki with proper permissions; a much larger thing to run, and the notes live in a database rather than as files.

45,942 stars, a block-based notebook with a desktop app and optional paid sync; more features, more structure imposed on you.

38,021 stars, a deep hierarchical notebook, now run by the community after the original author handed the repository over; it redirects from zadam/trilium.

4,959 stars, covered in Edition 32; far older and with invoicing built in, on a PHP stack, and a denser interface.

1,777 stars, a much simpler tag-based tracker with a nice timeline; no clients, no rates, no invoices.

1,629 stars, a small Go tracker built around tags; quick to run and deliberately plain.

132,988 stars, covered in Edition 25; MIT, with no key and no watermark, and the closest like-for-like if the licence matters to you.

38,410 stars, for node-and-edge diagrams rather than free drawing; MIT, and narrower on purpose.

14,723 stars, a lower-level 2D canvas library; you build the editor yourself, and everything above it is your work.

6,058 stars, the best-known library for this job and simpler to start with; it redirects from robertmartin8/PyPortfolioOpt, and it has no time-aware testing.

4,516 stars, a very wide catalogue of risk measures and plots; a different API, and less integration with the rest of the Python ecosystem.

1,247 stars, from the authors of the convex-optimisation textbook, aimed at simulating a whole trading policy including costs; more academic and harder going.