Skip to main content

Dataformer App

Create synthentic datasets for LLMs.

📦 Installation

You can install Dataformer App as such:

git clone https://github.com/DataformerAI/dataformer-app.git
make backend
make frontend

⚡️ Community

Join us on Discord

Metadata

Release files for dfapp 0.0.1

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

Source distribution (sdist)

Source distribution for dfapp 0.0.1
File Size Uploaded Provenance Actions
dfapp-0.0.1.tar.gz 8.2 kB Without provenance Details for dfapp-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dfapp 0.0.1
File Interpreter ABI Platform Actions
dfapp-0.0.1-py3-none-any.whl Python 3 none any Details for dfapp-0.0.1-py3-none-any.whl

Total release size: 15.3 kB

Release files / dfapp-0.0.1.tar.gz

Download URL dfapp-0.0.1.tar.gz
Size 8.2 kB
Tags Source
SHA-256 checksum
How to use checksums
d7ef0c2038b6903860eff4836d439b70e6fc84d59189281bf1a918ea3c07156a
BLAKE2b-256 checksum
How to use checksums
c9884cd8ea091f1dc7c47bcfc9b6f9b94a1e68533f14aa9f6d2da0dcf81c9453
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.8.3 CPython/3.11.4 Linux/6.5.0-35-generic

Release files / dfapp-0.0.1-py3-none-any.whl

Download URL dfapp-0.0.1-py3-none-any.whl
Size 7.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
019e76f47876721395240bff48f1f029a8eae799f9d858c63abae53b39b74ecf
BLAKE2b-256 checksum
How to use checksums
df393f2f3eab92046afa42ad9f291409c95e594a47d442745354b357b71a2135
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.8.3 CPython/3.11.4 Linux/6.5.0-35-generic

Security for dfapp 0.0.1

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

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