base on data load tool (dlt) is an open source Python library that makes data loading easy 🛠️ <h1 align="center"> <strong>data load tool (dlt) — the open-source Python library for data loading</strong> </h1> <p align="center"> Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop,<br/>or a GPT-4 assisted development playground—<strong>dlt</strong> can be dropped in anywhere. </p> <h3 align="center"> 🚀 Join our thriving community of likeminded developers and build the future together! </h3> <div align="center"> <a target="_blank" href="https://dlthub.com/community" style="background:none"> <img src="https://img.shields.io/badge/slack-join-dlt.svg?labelColor=191937&color=6F6FF7&logo=slack" style="width: 260px;" /> </a> </div> <div align="center"> <a target="_blank" href="https://pypi.org/project/dlt/" style="background:none"> <img src="https://img.shields.io/pypi/v/dlt?labelColor=191937&color=6F6FF7"> </a> <a target="_blank" href="https://pypi.org/project/dlt/" style="background:none"> <img src="https://img.shields.io/pypi/pyversions/dlt?labelColor=191937&color=6F6FF7"> </a> <a target="_blank" href="https://pypi.org/project/dlt/" style="background:none"> <img src="https://img.shields.io/pypi/dm/dlt?labelColor=191937&color=6F6FF7"> </a> </div> ## Installation dlt supports Python 3.9+. Python 3.13 is supported but considered experimental at this time as not all of dlts extras have python 3.13. support. We additionally maintain a [forked version of pendulum](https://github.com/dlt-hub/pendulum) for 3.13 until there is a release for 3.13. ```sh pip install dlt ``` More options: [Install via Conda or Pixi](https://dlthub.com/docs/reference/installation#install-dlt-via-pixi-and-conda) ## Quick Start Load chess game data from chess.com API and save it in DuckDB: ```python import dlt from dlt.sources.helpers import requests # Create a dlt pipeline that will load # chess player data to the DuckDB destination pipeline = dlt.pipeline( pipeline_name='chess_pipeline', destination='duckdb', dataset_name='player_data' ) # Grab some player data from Chess.com API data = [] for player in ['magnuscarlsen', 'rpragchess']: response = requests.get(f'https://api.chess.com/pub/player/{player}') response.raise_for_status() data.append(response.json()) # Extract, normalize, and load the data pipeline.run(data, table_name='player') ``` Try it out in our **[Colab Demo](https://colab.research.google.com/drive/1NfSB1DpwbbHX9_t5vlalBTf13utwpMGx?usp=sharing)** ## Features - **Automatic Schema:** Data structure inspection and schema creation for the destination. - **Data Normalization:** Consistent and verified data before loading. - **Seamless Integration:** Colab, AWS Lambda, Airflow, and local environments. - **Scalable:** Adapts to growing data needs in production. - **Easy Maintenance:** Clear data pipeline structure for updates. - **Rapid Exploration:** Quickly explore and gain insights from new data sources. - **Versatile Usage:** Suitable for ad-hoc exploration to advanced loading infrastructures. - **Start in Seconds with CLI:** Powerful CLI for managing, deploying and inspecting local pipelines. - **Incremental Loading:** Load only new or changed data and avoid loading old records again. - **Open Source:** Free and Apache 2.0 Licensed. ## Ready to use Sources and Destinations Explore ready to use sources (e.g. Google Sheets) in the [Verified Sources docs](https://dlthub.com/docs/dlt-ecosystem/verified-sources) and supported destinations (e.g. DuckDB) in the [Destinations docs](https://dlthub.com/docs/dlt-ecosystem/destinations). ## Documentation For detailed usage and configuration, please refer to the [official documentation](https://dlthub.com/docs). ## Examples You can find examples for various use cases in the [examples](docs/examples) folder. ## Adding as dependency `dlt` follows the semantic versioning with the [`MAJOR.MINOR.PATCH`](https://peps.python.org/pep-0440/#semantic-versioning) pattern. * `major` means breaking changes and removed deprecations * `minor` new features, sometimes automatic migrations * `patch` bug fixes We suggest that you allow only `patch` level updates automatically: * Using the [Compatible Release Specifier](https://packaging.python.org/en/latest/specifications/version-specifiers/#compatible-release). For example **dlt~=1.0** allows only versions **>=1.0** and less than **<1.1** * Poetry [caret requirements](https://python-poetry.org/docs/dependency-specification/). For example **^1.0** allows only versions **>=1.0** to **<1.0** ## Get Involved The dlt project is quickly growing, and we're excited to have you join our community! Here's how you can get involved: - **Connect with the Community**: Join other dlt users and contributors on our [Slack](https://dlthub.com/community) - **Report issues and suggest features**: Please use the [GitHub Issues](https://github.com/dlt-hub/dlt/issues) to report bugs or suggest new features. Before creating a new issue, make sure to search the tracker for possible duplicates and add a comment if you find one. - **Track progress of our work and our plans**: Please check out our [public Github project](https://github.com/orgs/dlt-hub/projects/9) - **Contribute Verified Sources**: Contribute your custom sources to the [dlt-hub/verified-sources](https://github.com/dlt-hub/verified-sources) to help other folks in handling their data tasks. - **Contribute code**: Check out our [contributing guidelines](CONTRIBUTING.md) for information on how to make a pull request. - **Improve documentation**: Help us enhance the dlt documentation. ## License `dlt` is released under the [Apache 2.0 License](LICENSE.txt). ", Assign "at most 3 tags" to the expected json: {"id":"12959","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"