Skip to main content

Dera 🚀

Dera is an open-source, no-code Machine Learning workflow automation engine built to simplify data pipelines and model training.

🌟 Key Features

  • Interactive UI: Modern embedded single-page application interface.
  • FastAPI Backend: Lightweight, high-performance local execution engine.
  • Engineered for Speed: Powered by Polars for lightning-fast data parsing and pipeline construction.
  • Seamless Modeling: Out-of-the-box support for Scikit-learn and XGBoost training workflows.

🚀 Quick Start

Install Dera globally via pip:

pip install dera

Release files for dera 1.0.1

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

Source distribution (sdist)

Source distribution for dera 1.0.1
File Size Uploaded
dera-1.0.1.tar.gz 251.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for dera 1.0.1
File Interpreter ABI Platform
dera-1.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 502.5 kB

Release files / dera-1.0.1.tar.gz

Download URL dera-1.0.1.tar.gz
Size 251.2 kB
Tags Source
SHA-256 checksum
How to use checksums
c90366a0629b1723ad2c307ac6e13cdc945bbd73506dafd01f071211846f6ef8
BLAKE2b-256 checksum
How to use checksums
0ed069b8af3912c1438ff38304e4aa5cc0d79c9657725e1c953750edb4b8be44
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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 15, 2026.

Transparency log

Release files / dera-1.0.1-py3-none-any.whl

Download URL dera-1.0.1-py3-none-any.whl
Size 251.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4c84de3b2658737520eb0e80a1565272364ffba5c47756d4c5688d2ad11dae8b
BLAKE2b-256 checksum
How to use checksums
01275785135459f3f81a898f5e765470bff6b7852a6807503e979712c406cc1b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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 15, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

1.0.1 This release

2 release files

1.0.0

2 release files

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