head to head · open source
GPT4All vs dagster
GPT4All has 77,347 GitHub stars, 8,261 forks, 771 open issues and last shipped 1.4 years ago. dagster has 16,364 stars, 2,395 forks, 2,589 open issues and last shipped 4 days ago. GPT4All leads on adoption by 373% (77,347 vs 16,364 stars). GPT4All is written in C++ under MIT; dagster is written in Python under Apache-2.0. GPT4All has attracted 11% as many forks as stars, dagster 15%. dagster 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.
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Side by side
| GPT4All | dagster | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 16K |
| License | MIT | Apache-2.0 |
| Written in | C++ | Python |
| Last push | 2025-05-27 | 2026-10-30 |
| Forks | ⑂ 8.3K | ⑂ 2.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick GPT4All if
- You weight community size — 77K stars and counting
- You want the MIT license terms
- Your stack matches C++
- You value the larger contributor base for long-term maintenance
pick dagster if
- You want the dagster feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and dagster fits your workflow better
About GPT4All
GPT4All Now with support for DeepSeek R1 Distillations Website • Documentation • Discord • YouTube Tutorial GPT4All runs large language models (LLMs) privately on everyday desktops & laptops. No API calls or GPUs required you can just download the application and get started . Read about what's new in our blog . Subscribe to the newsletter GPT4All is made possible by our compute partner Paperspace . Download Links — Windows Installer — — Windows ARM Installer — — macOS Installer — — Ubuntu Installer — The Windows and Linux builds require Intel Core…
read the full GPT4All overview →
About dagster
Dagster is a cloud native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best in class testability. It is designed for developing and maintaining data assets , such as tables, data sets, machine learning models, and reports. With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up to date. Here is an example of a graph of three assets defined in Python: The graph loaded into Dagster's web UI: Dagster is…
read the full dagster overview →
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Frequently asked questions
Is GPT4All or dagster more popular?
GPT4All has 77,347 GitHub stars and dagster has 16,364. GPT4All has the larger community by that measure.
Are GPT4All and dagster free?
Both are open source. GPT4All is licensed under MIT and dagster under Apache-2.0. Neither carries a licence fee.
What is the difference between GPT4All and dagster?
GPT4All is written in C++ and dagster 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, GPT4All or dagster?
Choose GPT4All if you want the larger community (77,347 stars) or its MIT licence terms. Choose dagster if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.