pybaseball VS Mimesis

Compare pybaseball vs Mimesis and see what are their differences.

pybaseball

Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs) (by jldbc)

Mimesis

Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently. (by lk-geimfari)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
pybaseball Mimesis
33 3
1,113 4,300
- -
5.0 9.1
21 days ago 8 days ago
Python Python
MIT License 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.

pybaseball

Posts with mentions or reviews of pybaseball. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-24.

Mimesis

Posts with mentions or reviews of Mimesis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.

What are some alternatives?

When comparing pybaseball and Mimesis you can also consider the following projects:

MLB-StatsAPI - Python wrapper for MLB Stats API

faker - Faker is a Python package that generates fake data for you.

baseballr - A package written for R focused on baseball analysis. Currently in development.

fake2db - create custom test databases that are populated with fake data

boxball - Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.

radar

sports.py - A simple Python package to gather live sports scores

FauxFactory - Generates random data for your tests.

mara-pipelines - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

callee - Argument matchers for unittest.mock

strat-o-rama - Generating plausible Strat-O-Matic cards from MLB data

aiounittest - Test python asyncio-based code with ease.