Sacred alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view Sacred alternatives based on common mentions on social networks and blogs.

• scikit-learn

  10.0 9.9 L3 Sacred VS scikit-learn

  scikit-learn: machine learning in Python
  

• tensorflow

  10.0 10.0 L1 Sacred VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

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• Keras

  9.9 9.8 L2 Sacred VS Keras

  Deep Learning for humans
  

• gym

  9.8 0.0 Sacred VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• xgboost

  9.7 9.6 L1 Sacred VS 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
  

• MindsDB

  9.7 9.9 Sacred VS MindsDB

  AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need
  

• PaddlePaddle

  9.6 10.0 L1 Sacred VS PaddlePaddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
  

• MLflow

  9.5 9.9 Sacred VS MLflow

  Open source platform for the machine learning lifecycle
  

• dspy

  9.5 9.9 Sacred VS dspy

  DSPy: The framework for programming—not prompting—language models
  

• Prophet

  9.5 7.1 Sacred VS Prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
  

• CNTK

  9.5 0.0 L1 Sacred VS CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
  

• gensim

  9.4 4.1 L3 Sacred VS gensim

  Topic Modelling for Humans
  

• TFLearn

  9.1 0.0 L3 Sacred VS TFLearn

  Deep learning library featuring a higher-level API for TensorFlow.
  

• NuPIC

  8.8 0.0 L3 Sacred VS NuPIC

  DISCONTINUED. Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
  

• H2O

  8.7 8.8 Sacred VS 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.
  

• Pyro.ai

  8.6 7.0 Sacred VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 5.1 L4 Sacred VS Surprise

  A Python scikit for building and analyzing recommender systems
  

• srez

  8.3 0.0 L5 Sacred VS srez

  DISCONTINUED. Image super-resolution through deep learning

• LightFM

  7.9 0.0 L4 Sacred VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• Pylearn2

  7.7 0.0 L2 Sacred VS Pylearn2

  Warning: This project does not have any current developer. See bellow.
  

• skflow

  7.6 1.3 L4 Sacred VS skflow

  DISCONTINUED. Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
  

• PyBrain

  7.4 0.0 L4 Sacred VS PyBrain

  Another Python Machine Learning Library.
  

• Atomic Agents

  7.3 9.5 Sacred VS Atomic Agents

  Building AI agents, atomically
  

• Clairvoyant

  7.1 2.1 L3 Sacred VS Clairvoyant

  Software designed to identify and monitor social/historical cues for short term stock movement
  

• garak, LLM vulnerability scanner

  6.3 9.8 Sacred VS garak, LLM vulnerability scanner

  DISCONTINUED. the LLM vulnerability scanner [Moved to: https://github.com/NVIDIA/garak]
  

• karateclub

  6.2 6.7 Sacred VS karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  

• python-recsys

  6.1 0.0 L4 Sacred VS python-recsys

  A python library for implementing a recommender system
  

• Metrics

  6.1 0.0 Sacred VS Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
  

• awesome-embedding-models

  5.9 0.0 Sacred VS awesome-embedding-models

  A curated list of awesome embedding models tutorials, projects and communities.
  

• pydeep

  5.8 0.0 L3 Sacred VS pydeep

  Deep learning in Python
  

• Crab

  5.5 0.0 L2 Sacred VS Crab

  Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
  

• hebel

  5.0 0.0 L2 Sacred VS hebel

  GPU-Accelerated Deep Learning Library in Python
  

• Xorbits

  4.7 7.8 Sacred VS Xorbits

  Scalable Python DS & ML, in an API compatible & lightning fast way.
  

• seqeval

  4.7 2.6 Sacred VS seqeval

  A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
  

• adaptive

  4.6 6.0 Sacred VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• TrueSkill, the video game rating system

  4.3 1.4 Sacred VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python
  

• pdpipe

  3.9 5.7 Sacred VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• SciKit-Learn Laboratory

  3.8 4.3 Sacred VS SciKit-Learn Laboratory

  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  

• rwa

  3.8 0.0 L5 Sacred VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average
  

• Robocorp Action Server

  3.8 7.5 Sacred VS Robocorp Action Server

  Create 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere
  

• nptyping

  3.6 0.0 Sacred VS nptyping

  💡 Type hints for Numpy and Pandas
  

• Feature Forge

  3.5 0.0 L4 Sacred VS Feature Forge

  A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
  

• Data Flow Facilitator for Machine Learning (dffml)

  3.3 9.3 Sacred VS Data Flow Facilitator for Machine Learning (dffml)

  DISCONTINUED. The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
  

• brew

  3.2 0.0 L4 Sacred VS brew

  DISCONTINUED. Multiple Classifier Systems and Ensemble Learning Library in Python.

• bodywork

  3.1 0.0 Sacred VS bodywork

  DISCONTINUED. ML pipeline orchestration and model deployments on Kubernetes.
  

• redframes

  2.8 1.4 Sacred VS redframes

  General Purpose Data Manipulation Library
  

• openskill.py

  2.8 8.1 Sacred VS openskill.py

  Multiplayer Rating System. No Friction.
  

• OptaPy

  2.8 5.5 Sacred VS OptaPy

  OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
  

• MLP Classifier

  2.8 0.0 L4 Sacred VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.
  

• vowpal_porpoise

  2.6 0.0 L3 Sacred VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit
  

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

• Sacred
  vs
  MLflow
• Sacred
  vs
  Clairvoyant
• Sacred
  vs
  tensorflow
• Sacred
  vs
  Keras
• Sacred
  vs
  scikit-learn

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