IronPython VS FLAML

Compare IronPython vs FLAML and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
IronPython FLAML
7 9
2,355 3,618
1.8% 2.8%
7.4 8.3
1 day ago 5 days ago
Python Jupyter Notebook
Apache License 2.0 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.

IronPython

Posts with mentions or reviews of IronPython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-07.

FLAML

Posts with mentions or reviews of FLAML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

What are some alternatives?

When comparing IronPython and FLAML you can also consider the following projects:

autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

MicroPython - MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

PySec - OWASP Python Security Project

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Grumpy - Grumpy is a Python to Go source code transcompiler and runtime.

CLPython - An implementation of Python in Common Lisp

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

nitroml - NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

FEDOT - Automated modeling and machine learning framework FEDOT

pyRevit - Rapid Application Development (RAD) Environment for Autodesk Revit®