AI · alternatives · 2026

24 alternatives to Spell + Weights & Biases
Accelerating deep learning experimentation
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Spell + Weights & Biases launched in 2019; newer entries below may have overtaken it.
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Lobe▲1,236Visual tool for building custom deep learning models
2018 · github.com · its alternatives →
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Weights & Biases▲110Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
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DeepSeek-V3.1▲417The best-performing and best of value open-source AI model
2025 · chat.deepseek.com · its alternatives →
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Distill▲200An interactive, visual journal for Machine Learning research
2017 · distill.pub · its alternatives →
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DeepSeek-V4▲387The open-source era of 1M context intelligence
Apr 2026 · huggingface.co · its alternatives →
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Inkling▲181Open weights 975B multimodal model built for fine-tuning
Jul 2026 · thinkingmachines.ai · its alternatives →
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DeepSeek-R1-0528▲218New open-source LLM that rivals o3 in coding & reasoning
2025 · huggingface.co · its alternatives →
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Netmind Power▲272Hi 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 →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
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Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…
2023 · play.vercel.ai · its alternatives →
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A Linux desktop in the cloud built for Machine Learning
2016 · its alternatives →
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Long-context efficiency with DeepSeek Sparse Attention
2025 · huggingface.co · its alternatives →
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Breathtaking visuals for learning ML techniques.
2017 · ml-playground.com · its alternatives →
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Apple MLX▲138An array framework for machine learning on Apple silicon
2023 · pypi.org · its alternatives →
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Clever Grid▲117Easy to use and fairly priced GPUs for Machine Learning
2019 · clevergrid.io · its alternatives →
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Spelltest framework simulates conversations between AI ‘synthetic users' in an environment to test and refine LLM-based applications. It ensures your app converse with utmost accuracy and relevance. Post-chat, Spelltest assesses responses, providing qualitative and quantitative feedback on performance. Suitable for both chat and completion modes. When to use: - After modifying your prompt. - When your LLM provider updates. - As a CI step for you repo. All feedback and collaborations appreciated!
2023 · github.com · its alternatives →
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Production infrastructure for machine learning at scale - cortexlabs/cortex
2019 · github.com · its alternatives →
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Deepmark AI▲97LLM benchmarking tool for task-specific metrics on your data
2023 · github.com · its alternatives →
- 24SS
We'd like to introduce HN to Spell, which is a tool for easily running ML/DL jobs remotely. As Deep Learning has grown we see engineers and researchers struggle to incorporate running on GPUs into their workflow. So we built Spell to be the easiest way to get code running elsewhere - like the bash '&' operator but for remote machines. Sign up for an account at https://web.spell.run/waitlist, which includes $300 in credits for GPU time. There's a waitlist, but we'll be approving accounts as they come in. Here are some of the features we really wanted and built into Spell:…
2018 · 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 →