Activity of opentensor/bittensor repository

Evolving

Contribution activity is growing

Activity badge for opentensor/bittensor repository

Why opentensor/bittensor is evolving?

The result is based on ratio of number of commits and code additions from initial and final time ranges.

Initial time range – from 14 Aug, 2023 to 14 Nov, 2023

Final time range – from 15 May, 2024 to 14 Aug, 2024

From 1 to 16 commits per week
1500%
From 2057 to 1097 additions per week
-47%
From 3026 to 414 deletions per week
-86%
Data calculated on 14 Aug, 2024

Bus factor

What is Bus factor?

It is basically a number of most active contributors responsible for 80% of contributions.

Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.

The opentensor/bittensor repository has a bus factor of 10.

Low risk, knowledge is well distributed among the team members

Bus factor was measured on 14 Aug 2024

10

Summary of opentensor/bittensor

Opentensor/bittensor is a GitHub repository used for developing an open-source peer-to-peer machine learning network known as Bittensor.

Bittensor, in essence, enables an incentivized, distributed network for machine learning. This AI development is set to foster an environment where developers can earn cryptocurrency tokens by participating in the building and maintenance of a global, decentralized neural network.

This repository provides the tools, examples, and documentation necessary for developers to engage with Bittensor network including creating applications that interact with the network, contributing to the network's training, or learning from the global model.

The network protocol used by Bittensor utilizes blockchain incentives in the form of its native cryptocurrency to stimulate the production of more intelligent federated learning models.

The main features include:

  • Wallet: A utility for generating cold-stake Bittensor wallets, with capabilities to check balances and send transactions.
  • Neuron: A base class for all Bittensor applications.
  • Metagraph: A peer-to-peer datastore containing information about the Bittensor network, including peers and stake weights.
  • Dendrite: An object for interfacing with the Bittensor network.
  • Axon: A server object for serving machine learning models to the network.
  • Subtensor: An interface to the subtensor chain for neuron roles such as staking, or producing blocks.

In this vibrant community, there are plentiful opportunities for contributions; from improving documentation, developing models, optimizing the P2P system, to designing user interfaces. It's a brilliant initiative to enhance and reimagine the potentials of machine learning.

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