einops provides readable tensor operations for PyTorch, JAX, TensorFlow, and other frameworks.
The Best deap Alternatives in 2026
Looking for something like deap? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 19 are open source.
DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | einops | — | Yes | — |
| 2 | DeepSpeed-MII | — | Yes | — |
| 3 | colibri-core | — | Yes | — |
| 4 | Gymnasium | — | Yes | — |
| 5 | DyNet | — | Yes | — |
| 6 | TensorForce | — | Yes | — |
| 7 | LMFlow | — | Yes | — |
| 8 | GPT-NeoX | — | Yes | — |
| 9 | Quilt | — | Yes | — |
| 10 | Darknet | — | Yes | — |
All deap alternatives
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
The colibri-core NLP tool and library works with n-grams, skipgrams, and other linguistic patterns.
Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.
DyNet provides tools for building dynamic neural networks and deep learning models.
Tensorforce provides a TensorFlow library for applied reinforcement learning tasks.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
GPT-NeoX implements model parallel autoregressive transformers on GPUs using Megatron and DeepSpeed libraries.
Quilt manages scientific data on AWS with versioned data packages for teams and AI.
The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.
Hyperopt
github.com/hyperopt/hyperoptHyperopt supports distributed asynchronous hyperparameter optimization in Python.
PyTorch
github.com/pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration.
GeneticSharp provides C# tools for developing applications that use genetic algorithms.
The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines.
Clip-as-a-service
github.com/jina-ai/clip-as-serviceCLIP-as-service provides scalable image and sentence embeddings, reasoning, and ranking with CLIP.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
Candle provides a minimalist Rust framework for machine learning model development and execution tasks.
Crowdsourced AI prompts are organized into modular task patterns by Fabric, an open-source framework.
Build machine learning applications with Delta, an open-source framework implemented in Rust.
Hopsworks
hopsworks.aiHopsworks provides a feature store and MLOps platform for building and operating production machine learning systems.
Beam
beam.cloudRun sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Colibri runs mixture-of-experts language models on local hardware, streaming experts from disk with a small C engine.
The abso TypeScript SDK calls more than 100 LLM providers through an OpenAI compatible format.
Glide provides an open model gateway for developing production generative AI applications.
Alternatives to similar tools
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