Skip to main content

Enables access to high-quality signals about a borrower's income, assets, and liabilities.

Project description

Huma Finance

Decentralized Signal Portfolio

Action Status Version Documentation License: AGPLv3 Twitter: humafinance

The Decentralized Signal Portfolio (DSP) is an open source package that enables access to high-quality signals about a borrower's income, assets, and liabilities. These signals are collected through Signal Adapters, which gather data from a variety of on-chain and off-chain sources. Any developer can contribute to the platform by adding a new Signal Adapter for a specific data source.

Overview

📜 Huma Whitepaper

🏠 Homepage

Documentation

For additional guides, examples, and APIs, see the documentation.

Want to help?

Give a ⭐️ if this project helped you!

Want to file a bug, contribute some code, or improve the documentation? Excellent! Read up on our guidelines for contributing.

📝 License

This project is AGPL v3 licensed.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

huma_signals-0.3.0.tar.gz (35.7 kB view details)

Uploaded Source

Built Distribution

huma_signals-0.3.0-py3-none-any.whl (50.0 kB view details)

Uploaded Python 3

File details

Details for the file huma_signals-0.3.0.tar.gz.

File metadata

  • Download URL: huma_signals-0.3.0.tar.gz
  • Upload date:
  • Size: 35.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.9 Linux/5.15.0-1038-azure

File hashes

Hashes for huma_signals-0.3.0.tar.gz
Algorithm Hash digest
SHA256 1dbed8e51e55f85f272f3257b98268f16e094f356636bdaf53bfd32db79b226e
MD5 6c80992d5c6998a02d47ad09cbe9bd83
BLAKE2b-256 0e45c004fd63c8875f736b4fc3cca9728f60565b03f100d4ce30f9bebeb248dd

See more details on using hashes here.

File details

Details for the file huma_signals-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: huma_signals-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 50.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.9 Linux/5.15.0-1038-azure

File hashes

Hashes for huma_signals-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6bf7401d5fb262599e68460caf9ecb99d183a52370aa3b0029ae44068dd702f4
MD5 657de723980935bc2aca4f2b66d50952
BLAKE2b-256 83c570c54805a7e5b9a93d8071c0abbdb2bee6db5d5f5d38c6ff4f473b7522ad

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page