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 that automates all your tedious data loading tasks</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 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. ```sh pip install dlt ``` ## 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)** or directly on our wasm-based [playground](https://dlthub.com/docs/tutorial/playground) in our docs. ## Features dlt is an open-source Python library that loads data from various, often messy data sources into well-structured datasets. It provides lightweight Python interfaces to extract, load, inspect, and transform data. dlt and dlt docs are built from the ground up to be used with LLMs: the [LLM-native workflow](https://dlthub.com/docs/dlt-ecosystem/llm-tooling/llm-native-workflow) will take your pipeline code to data in a notebook for over [5000 sources](https://dlthub.com/workspace). dlt is designed to be easy to use, flexible, and scalable: - dlt extracts data from [REST APIs](https://dlthub.com/docs/tutorial/rest-api), [SQL databases](https://dlthub.com/docs/tutorial/sql-database), [cloud storage](https://dlthub.com/docs/tutorial/filesystem), [Python data structures](https://dlthub.com/docs/tutorial/load-data-from-an-api), and [many more](https://dlthub.com/docs/dlt-ecosystem/verified-sources). - dlt infers [schemas](https://dlthub.com/docs/general-usage/schema) and [data types](https://dlthub.com/docs/general-usage/schema/#data-types), [normalizes the data](https://dlthub.com/docs/general-usage/schema/#data-normalizer), and handles nested data structures. - dlt supports a variety of [popular destinations](https://dlthub.com/docs/dlt-ecosystem/destinations/) and has an interface to add [custom destinations](https://dlthub.com/docs/dlt-ecosystem/destinations/destination) to create reverse ETL pipelines. - dlt automates pipeline maintenance with [incremental loading](https://dlthub.com/docs/general-usage/incremental-loading), [schema evolution](https://dlthub.com/docs/general-usage/schema-evolution), and [schema and data contracts](https://dlthub.com/docs/general-usage/schema-contracts). - dlt supports [Python and SQL data access](https://dlthub.com/docs/general-usage/dataset-access/), [transformations](https://dlthub.com/docs/dlt-ecosystem/transformations), [pipeline inspection](https://dlthub.com/docs/general-usage/dashboard.md), and [visualizing data in Marimo Notebooks](https://dlthub.com/docs/general-usage/dataset-access/marimo). - dlt can be deployed anywhere Python runs, be it on [Airflow](https://dlthub.com/docs/walkthroughs/deploy-a-pipeline/deploy-with-airflow-composer), [serverless functions](https://dlthub.com/docs/walkthroughs/deploy-a-pipeline/deploy-with-google-cloud-functions), or any other cloud deployment of your choice. ## 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, or in the [code examples section](https://dlthub.com/docs/examples) of our docs page. ## 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** Please also see our [release notes](https://github.com/dlt-hub/dlt/releases) for notable changes between versions. ## 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) - **Improve documentation**: Help us enhance the dlt documentation. ## Contribute code Please read [CONTRIBUTING](CONTRIBUTING.md) before you make a PR. - 📣 **New destinations are unlikely to be merged** due to high maintenance cost (but we are happy to improve SQLAlchemy destination to handle more dialects) - Significant changes require tests and docs and in many cases writing tests will be more laborious than writing code - Bugfixes and improvements are welcome! You'll get help with writing tests and docs + a decent review. ## 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"