head to head · open source
Lightdash vs docetl
Lightdash has 6,145 GitHub stars, 777 forks, 1,018 open issues and last shipped today. docetl has 4,101 stars, 443 forks, 45 open issues and last shipped 15 days ago. Lightdash leads on adoption by 50% (6,145 vs 4,101 stars). Lightdash is written in TypeScript under a custom or non-standard licence; docetl is written in Python under MIT. Lightdash has attracted 13% as many forks as stars, docetl 11%. Lightdash was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| Lightdash | docetl | |
|---|---|---|
| GitHub stars | ★ 6.1K | ★ 4.1K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-20 | 2026-09-05 |
| Forks | ⑂ 777 | ⑂ 443 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Lightdash if
- You weight community size — 6.1K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick docetl if
- You want the docetl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and docetl fits your workflow better
About Lightdash
Lightdash is an open source, agentic business intelligence platform for modern data teams, written in TypeScript and distributed under a NOASSERTION license. It lives in the data and analytics ecosystem, specifically the data engineering and integration space, and it is built around dbt and warehouse native workflows. The project describes itself as agentic BI, meaning analytics is intended to move at the speed of code rather than through point and click configuration alone.
read the full Lightdash overview →
About docetl
DocETL is a Python system for agentic LLM powered data processing and ETL. It lives in the data engineering and document processing ecosystem, where pipelines must turn structured records and unstructured documents into queryable tables. Users describe each operation in natural language, and DocETL provides operators such as map, reduce, and filter, then orchestrates them across the data.
read the full docetl overview →
More in Data & Analytics
Related comparisons
More Data Engineering & Integration projects
Compare either of these against the rest of the Data Engineering & Integration field.
Frequently asked questions
Is Lightdash or docetl more popular?
Lightdash has 6,145 GitHub stars and docetl has 4,101. Lightdash has the larger community by that measure.
Are Lightdash and docetl free?
Both are open source. Lightdash has no licence declared in this registry, and docetl is licensed under MIT. Both are free to self-host.
What is the difference between Lightdash and docetl?
Lightdash is written in TypeScript and docetl in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Lightdash or docetl?
Choose Lightdash if you want the larger community (6,145 stars) or its Custom / other licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.