dlt-hub/dlt
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
3 releases in the last 90 days, the latest 3 days ago, with 217 contributors on GitHub.
Gained 13% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides an open-source Python library to simplify data extraction, transformation, and loading into various destinations.
- Enables automatic schema creation and data normalization for consistent, scalable, and maintainable data pipelines.
- Use for building data pipelines that integrate APIs and load data into local or cloud data warehouses effortlessly.
- Use for rapid data exploration and incremental loading in environments like Google Colab, AWS Lambda, or Airflow.
- Use for developing production-grade ELT workflows with seamless integration and easy pipeline management via CLI.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop, or a GPT-4 assisted development playground—dlt can be dropped in anywhere.
🚀 Join our thriving community of likeminded developers and build the future together!
dlt supports Python 3.9 through Python 3.14 (beta 4). Note that some optional extras are not yet available for Python 3.14, so support for this version is considered experimental.
Load chess game data from chess.com API and save it in DuckDB:
Try it out in our Colab Demo or directly on our wasm-based playground in our docs.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
649+75
Open issues
476+43
Compared with peers in Data Engineering
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| apache/airflow | 47.3K | — | 63 | 40 days ago |
| pion/webrtc | 16.9K | — | 60 | 1 day ago |
| flexprice/flexprice | 6.9K | — | 65 | 5 days ago |
| truelockmc/streambert | 6.4K | — | 28 | 120 days ago |
| dlt-hub/dlt | 6.0K | — | 60 | 3 days ago |
| lakehq/sail | 3.5K | — | 63 | 28 days ago |
| Category median | 6.9K | — | 63 | — |
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