Reverse Dependencies of stopit

The following projects have a declared dependency on stopit:

• acryl-datahub — A CLI to work with DataHub metadata
• apt-mirror-updater — Automated, robust apt-get mirror selection for Debian and Ubuntu
• apt-smart — Automated, robust apt-get mirror selection for Debian and Ubuntu
• auger.ai.predict — Auger ML predict python and command line interface
• Auto-Sklong — A package for automated machine learning based on scikit-learn and sklong to tackle the longitudinal machine learning classificationt tasks.
• Autofhm — Python Automated Machine Learning
• autoqtl — Automated Quantitative Trait Locus Analysis Tool
• contrxt — ContrXT
• crate — CrateDB Python Client
• dailytask — dailytask
• diego — Diego: Data IntElliGence Out.
• dsbox-datacleaning — DSBox data preprocessing tools for cleaning data
• eprints2archives — Send EPrints URLs to the Internet Archive and other archives
• gama — A package for automated machine learning based on scikit-learn.
• genens — A genetic AutoML system for ensemble methods
• GrammarFlow — Ensuring parsability of LLM responses in agent chains
• griptape-flow — Python framework for LLM workflows and pipelines.
• kameris — A fast, user-friendly analysis and evaluation pipeline for some DNA sequence classification tasks.
• klembord — Full toolkit agnostic cross-platform clipboard access
• kstopit — kstopit
• machinae — Machinae Security Intelligence Collector
• Mathics3 — A general-purpose computer algebra system.
• mdbh — A MongoDB, Sacred, and Omniboard helper.
• merlinxai — MERLIN
• ores — A webserver for hosting scorer models.
• pewanalytics — Utilities for text processing and statistical analysis from Pew Research Center
• pewtils — General programming utilities from Pew Research Center
• picas — Python client using CouchDB as a token pool server.
• powerlift — Interactive Benchmarking for Machine Learning.
• pygears — Framework for functional hardware design approach
• pyglyph — Symbolic regression tools.
• pypeln — no summary
• RapidML — RapidML is your Smart Machine Learning assistant that not only automates the creation of machine learning models but also enables you to easily deploy the models to the cloud. Find the documentation at: https://ritabratamaiti.github.io/RapidML
• sagemaker — Open source library for training and deploying models on Amazon SageMaker.
• scikit-longitudinal — Scikit-longitudinal is an open-source Python library for longitudinal data analysis, building on Scikit-learn's foundation with tools tailored for repeated measures data.
• simple-multiprocessing — simple_multiprocessing
• skatepark-lib — Python framework for AI workflows and pipelines.
• smjsindustry — Open source library for industry machine learning on Amazon SageMaker.
• SRI-TPOT — SRI Fork of Tree-based Pipeline Optimization Tool
• SRITPOT — SRI Fork of Tree-based Pipeline Optimization Tool
• stepfunctions-without-sagemaker — Open source library for developing data science workflows on AWS Step Functions.
• tpot — Tree-based Pipeline Optimization Tool
• TPOT-SH — Tree-based Pipeline Optimization Tool - Successive Halving
• TPOT2 — Tree-based Pipeline Optimization Tool
• tramway — TRamWAy
• website-sitemap-parser — Website Sitemap Parser
• wowp — Data-flow-actors-based workflow framework
• zillion — Make sense of it all. Data modeling and analytics with a sprinkle of AI.