AI · alternatives · 2026

24 alternatives to Bender – a Deep Learning framework for iOS

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood. - xmartlabs/Bender

Bender is a deep learning framework designed for iOS developers who want to integrate machine learning models into their mobile applications. It enables developers to build and run neural networks directly on iOS… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Bender – a Deep Learning framework for iOS launched in 2017; newer entries below may have overtaken it.

1
Bender▲6
Easily craft fast Neural Networks on iOS
2017 · github.com · its alternatives →
25N
59a34eabe31910abfb06f308 – NeuralHash Collision Demo▲339
2021 · thishashcollisionisnotporn.com · its alternatives →
3
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
4
Floyd▲469
Heroku for deep learning
2017 · blog.floydhub.com · its alternatives →
5
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
6
End-to-end deep learning experimentation platform for Tensorflow▲151
AI Infra / AI Orchestration / AI Control Plane. Contribute to polyaxon/polyaxon development by creating an account on GitHub.
2017 · github.com · its alternatives →
7
Datature▲271
No-code platform for building deep neural nets
2021 · datature.io · its alternatives →
8
Deepkit▲69
The collaborative and analytical AI training suite
2020 · deepkit.ai · its alternatives →
9
Neural-hash-collider – Find target hash collisions for NeuralHash▲623
Preimage attack against NeuralHash 💣. Contribute to anishathalye/neural-hash-collider development by creating an account on GitHub.
2021 · github.com · its alternatives →
10
Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
11
DeepSeek for iOS▲357
Your Al assistant powered by DeepSeek-V3
2025 · apps.apple.com · its alternatives →
12
Neuropod – Uber ATG's open source deep learning inference engine▲80
A uniform interface to run deep learning models from multiple frameworks - uber/neuropod
2020 · github.com · its alternatives →
13
Apple MLX▲138
An array framework for machine learning on Apple silicon
2023 · pypi.org · its alternatives →
14
DeepSwarm – Optimising CNNs Using Swarm Intelligence▲73
Neural Architecture Search Powered by Swarm Intelligence 🐜 - Pattio/DeepSwarm
2019 · github.com · its alternatives →
15
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
16
Netmind Power▲272
Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
17
TensorZero▲307
Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
18DL
Deep Learning GUI to Create, Train and Visualize Models in a Browser▲216
2019 · beta.aifiddle.io · its alternatives →
19PO
PlaidML, open source deep learning for any GPU▲52
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
20
Thinc, a new deep learning library by the makers of spaCy and FastAPI▲250
Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.
2020 · thinc.ai · its alternatives →
21MP
Maple-Preview – Ternary 20B MoE running at 120 tok/s on a iPhone▲173
Aug 2026 · deepgrove.ai · its alternatives →
22
Cactus – Ollama for Smartphones▲231
Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones. Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more. Apple and Google actively went into local AI models recently with the launch of Apple Foundation Frameworks…
2025 · github.com · its alternatives →
23
Strips▲108
iOS video sketchbook maker using neural networks
2018 · apps.apple.com · its alternatives →
24
Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit▲126
:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World
2017 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →