head to head · open source
dlt vs aistore
dlt has 6,051 GitHub stars, 649 forks, 434 open issues and last shipped 3 days ago. aistore has 1,952 stars, 293 forks, 5 open issues and last shipped yesterday. dlt leads on adoption by 210% (6,051 vs 1,952 stars). dlt is written in Python under Apache-2.0; aistore is written in Go under MIT. dlt has attracted 11% as many forks as stars, aistore 15%. aistore 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
| dlt | aistore | |
|---|---|---|
| GitHub stars | ★ 6.1K | ★ 2.0K |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-10-31 | 2026-11-02 |
| Forks | ⑂ 649 | ⑂ 293 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick dlt if
- You weight community size — 6.1K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick aistore if
- You want the aistore feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and aistore fits your workflow better
About dlt
data load tool (dlt) — the open source Python library that automates all your tedious data loading tasks Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop, or an AI coding agent— dlt can be dropped in anywhere. 🚀 Join our thriving community of likeminded developers and build the future together! Installation dlt supports Python 3.10 through Python 3.14. Note that some optional extras are not yet available for Python 3.14, so support for this version is considered experimental. Add the extras you need for your sources and destinations, for example: Prefer uv? uv add…
About aistore
AIStore: High Performance, Scalable Storage for AI Workloads AIStore (AIS) is a lightweight distributed storage stack tailored for AI applications. It's an elastic cluster that can grow and shrink at runtime and can be ad hoc deployed, with or without Kubernetes, anywhere from a single Linux machine to a bare metal cluster of any size. Built from scratch, AIS provides linear scale out, consistent performance, and a flexible deployment model. AIS is a reliable storage cluster that can natively operate on both in cluster and remote data, without treating either as a cache. AIS consistently shows balanced I/O…
read the full aistore overview →
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Frequently asked questions
Is dlt or aistore more popular?
dlt has 6,051 GitHub stars and aistore has 1,952. dlt has the larger community by that measure.
Are dlt and aistore free?
Both are open source. dlt is licensed under Apache-2.0 and aistore under MIT. Neither carries a licence fee.
What is the difference between dlt and aistore?
dlt is written in Python and aistore in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, dlt or aistore?
Choose dlt if you want the larger community (6,051 stars) or its Apache-2.0 licence terms. Choose aistore if its feature set, stack or MIT licence fits better. Both are self-hostable.