dspy alternatives and similar packages

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

• tensorflow

  10.0 10.0 L1 dspy VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• Keras

  9.9 9.9 L2 dspy VS Keras

  Deep Learning for humans
  

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• scikit-learn

  9.9 9.9 L3 dspy VS scikit-learn

  scikit-learn: machine learning in Python
  

• gym

  9.8 0.0 dspy VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• xgboost

  9.8 9.6 L1 dspy 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
  

• PaddlePaddle

  9.6 10.0 L1 dspy 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）
  

• CNTK

  9.6 0.0 L1 dspy VS CNTK

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

• gensim

  9.5 7.5 L3 dspy VS gensim

  Topic Modelling for Humans
  

• MindsDB

  9.5 10.0 dspy VS MindsDB

  The platform for customizing AI from enterprise data
  

• Prophet

  9.5 6.2 dspy VS Prophet

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

• MLflow

  9.5 9.9 dspy VS MLflow

  Open source platform for the machine learning lifecycle
  

• TFLearn

  9.1 0.0 L3 dspy VS TFLearn

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

• H2O

  8.8 9.7 dspy 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.
  

• NuPIC

  8.8 0.0 L3 dspy 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.
  

• Pyro.ai

  8.7 8.4 dspy VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 0.0 L4 dspy VS Surprise

  A Python scikit for building and analyzing recommender systems

• srez

  8.3 0.0 L5 dspy VS srez

  DISCONTINUED. Image super-resolution through deep learning

• LightFM

  7.9 4.8 L4 dspy VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• Pylearn2

  7.8 0.0 L2 dspy VS Pylearn2

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

• skflow

  7.6 1.3 L4 dspy VS skflow

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

• Sacred

  7.5 3.5 dspy VS Sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  

• PyBrain

  7.5 0.0 L4 dspy VS PyBrain

  Another Python Machine Learning Library.

• Clairvoyant

  7.2 0.0 L3 dspy VS Clairvoyant

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

• python-recsys

  6.2 0.0 L4 dspy VS python-recsys

  A python library for implementing a recommender system

• Metrics

  6.2 0.0 dspy VS Metrics

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

• karateclub

  6.1 7.0 dspy VS karateclub

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

• awesome-embedding-models

  6.0 0.0 dspy VS awesome-embedding-models

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

• pydeep

  5.9 0.0 L3 dspy VS pydeep

  Deep learning in Python

• Crab

  5.7 0.0 L2 dspy 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 dspy VS hebel

  GPU-Accelerated Deep Learning Library in Python

• seqeval

  4.6 0.0 dspy VS seqeval

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

• adaptive

  4.5 6.2 dspy VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• Xorbits

  4.4 8.8 dspy VS Xorbits

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

• TrueSkill, the video game rating system

  4.2 1.4 dspy VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python

• pdpipe

  3.9 0.0 dspy VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• SciKit-Learn Laboratory

  3.9 8.7 dspy VS SciKit-Learn Laboratory

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

• rwa

  3.8 0.0 L5 dspy VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average

• Feature Forge

  3.5 0.0 L4 dspy 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 9.1 dspy VS Data Flow Facilitator for Machine Learning (dffml)

  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.
  

• nptyping

  3.3 0.0 dspy VS nptyping

  💡 Type hints for Numpy and Pandas

• brew

  3.2 0.0 L4 dspy VS brew

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

• bodywork

  3.1 0.0 dspy VS bodywork

  DISCONTINUED. ML pipeline orchestration and model deployments on Kubernetes.
  

• Robocorp Action Server

  3.0 9.8 dspy VS Robocorp Action Server

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

• MLP Classifier

  2.8 0.0 L4 dspy VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.

• OptaPy

  2.7 5.5 dspy VS OptaPy

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

• redframes

  2.7 1.4 dspy VS redframes

  General Purpose Data Manipulation Library

• openskill.py

  2.5 7.3 dspy VS openskill.py

  Multiplayer Rating System. No Friction.
  

• vowpal_porpoise

  2.5 0.0 L3 dspy VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit

• omega-ml

  1.8 8.1 dspy VS omega-ml

  MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

• ChaiPy

  1.5 0.0 dspy VS ChaiPy

  DISCONTINUED. A developer interface for creating advanced chatbots for the Chai app.
  

* 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

• dspy
  vs
  MLflow
• scikit-learn
  vs
  Keras
• PaddlePaddle
  vs
  tensorflow
• LightFM
  vs
  Surprise
• scikit-learn
  vs
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