faqtory VS commitgpt

Compare faqtory vs commitgpt and see what are their differences.

faqtory

A tool to generate FAQ.md documents and automatically suggest answers to issues (by willmcgugan)

commitgpt

Automatically generate commit messages using ChatGPT (by RomanHotsiy)
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faqtory commitgpt
4 14
197 1,532
- -
4.4 3.4
3 months ago 5 months ago
Python TypeScript
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

faqtory

Posts with mentions or reviews of faqtory. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

commitgpt

Posts with mentions or reviews of commitgpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-30.

What are some alternatives?

When comparing faqtory and commitgpt you can also consider the following projects:

pulsar-chatgptgenerated-functions - Functions Generated by ChatGPT

add-gpt-summarizer - Summarize your PRs with the power of GPT-3

schemata - Schema modelling framework for decentralised domain-driven ownership of data.

gpt-commit-summarizer

trebuchet-client - A friendly siege weapon to get 2-way communication through tough firewalls and bad mobile networks

micronaut-pulsar - Integration between Micronaut and Pulsar

create-nifi-pulsar-flink-apps - How to create a real-time scalable streaming app using Apache NiFi, Apache Pulsar and Apache Flink SQL

pulsar-csp-ce - Cloudera CSP CE Plus Apache Pulsar

modern-errors - Handle errors in a simple, stable, consistent way

dreamshard - [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems

wine