commitgpt VS Prophet

Compare commitgpt vs Prophet and see what are their differences.

commitgpt

Automatically generate commit messages using ChatGPT (by RomanHotsiy)

Prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)
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commitgpt Prophet
14 221
1,532 17,767
- 0.6%
3.4 6.2
5 months ago 5 days ago
TypeScript Python
- 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.

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.

Prophet

Posts with mentions or reviews of Prophet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

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

faqtory - A tool to generate FAQ.md documents and automatically suggest answers to issues

tensorflow - An Open Source Machine Learning Framework for Everyone

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

darts - A python library for user-friendly forecasting and anomaly detection on time series.

gpt-commit-summarizer

scikit-learn - scikit-learn: machine learning in Python

micronaut-pulsar - Integration between Micronaut and Pulsar

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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

greykite - A flexible, intuitive and fast forecasting library

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

MLflow - Open source platform for the machine learning lifecycle