Skip to main content

Data7 ⚡ Open your data in minutes

Pronounced data·set (7 like sept in French).

GitHub Actions Workflow Status PyPI - Version

The idea 💡

TL;DR Data7 is a high performance web server that generates dynamic datasets (in CSV or Parquet formats) from existing databases and streams them over HTTP 🎉

A quick example

Let say you have a restaurant table in your PostgreSQL database, and you want to make this table an always-up-to-date dataset that can be easily used by the rest of the world.

All you have to do is to initialize your project:

data7 init

✍️ Edit configuration files:

# settings.yaml
production:
  host: "https://data7.wonderful-places.org"
  port: 80

# .secrets.yaml
production:
  DATABASE_URL: "postgresql+asyncpg://user:pass@server:port/wonderful-places"

# data7.yaml
production:
  datasets:
    - basename: restaurants
      query: "SELECT * FROM restaurant"

🏎️ Fire up the data7 server:

data7 run

💥 Your dataset is available at:

Documentation

The complete documentation of the project is avaiable at: https://jmaupetit.github.io/data7/

License

This work is released under the MIT License.

Metadata

Release files for data7 1.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for data7 1.0.3
File Size Uploaded Provenance Actions
data7-1.0.3.tar.gz 219.6 kB With provenance Details for data7-1.0.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for data7 1.0.3
File Interpreter ABI Platform Actions
data7-1.0.3-py3-none-any.whl Python 3 none any Details for data7-1.0.3-py3-none-any.whl

Total release size: 232.4 kB

Release files / data7-1.0.3.tar.gz

Download URL data7-1.0.3.tar.gz
Size 219.6 kB
Tags Source
SHA-256 checksum
How to use checksums
07fc28a515a79f6c3740b35e2e6adbe5fabbfde1c8319ea4c878ef822abc33bf
BLAKE2b-256 checksum
How to use checksums
d103541b4fd64bcffa23e750d3883a167d2f2dd25956d911d8297c0ce77c3f1d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.13

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 28, 2026.

Transparency log

Release files / data7-1.0.3-py3-none-any.whl

Download URL data7-1.0.3-py3-none-any.whl
Size 12.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
af9ff7d8113a3d26a606db9b9971dfea963a559296135df839c6bbcc4c37e2e5
BLAKE2b-256 checksum
How to use checksums
51dbb4dfa4fec60e284c879ff06398291fec0013a47462a1aae3e384011b20c0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.13

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 28, 2026.

Transparency log

Security for data7 1.0.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

Both files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for data7-1.0.3.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 28, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page