upgini VS DescribeML

Compare upgini vs DescribeML and see what are their differences.

upgini

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs (by upgini)
Data Science Machine Learning scikit-learn python-library Kaggle open-data public-data Automl feature-engineering feature-extraction feature-selection Features kaggle-solution data-enrichment automated-feature-engineering open-datasets automl-pipeline large-language-models chatgpt llm
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upgini.com
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DescribeML

DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset. (by SOM-Research)
Datasets dataset-generation Machine Learning Modeling Data Science Visual Studio Code VSCode describeml langium open-data open-datasets model-driven
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upgini DescribeML
16 1
290 27
2.4% -
9.1 5.2
4 days ago 8 months ago
Python TypeScript
BSD 3-clause "New" or "Revised" 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.

upgini

Posts with mentions or reviews of upgini. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-24.

DescribeML

Posts with mentions or reviews of DescribeML. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing upgini and DescribeML you can also consider the following projects:

NitroFE - NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

analysis-ui - Front-end for Conveyal Analysis. Model and analyze transport scenarios.

featuretools - An open source python library for automated feature engineering

open-data-monitor - A newsfeed of open government datasets, tracking when they're added or deleted. Built with data from Splitgraph, deployed to Seafowl on Fly.io

powershap - A power-full Shapley feature selection method.

ai-jobs-net-salaries - A dataset of global salaries in AI/ML and Big Data.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code

LeanDojoChatGPT - ChatGPT plugin for theorem proving in Lean

ScribeAI - ChatGPT extension for VSCode.

fibs-reporter - Automatically generate a pdf report containing feature importance, baseline modelling, spurious correlation detection, and more, from a single command line input for any given ML CSV file

atariemailarchive-data - A structured dataset of emails sent at Atari from 1983 to 1992.

upgini vs NitroFE DescribeML vs analysis-ui upgini vs featuretools DescribeML vs open-data-monitor upgini vs powershap DescribeML vs ai-jobs-net-salaries upgini vs best-of-ml-python DescribeML vs vscode-dvc upgini vs LeanDojoChatGPT DescribeML vs ScribeAI upgini vs fibs-reporter upgini vs atariemailarchive-data