Dev tools · alternatives · 2026
24 alternatives to API for free deep learning models
KeplrAI gives every critical asset in a plant its own maintenance intelligence. Assets predict failures, trigger parts procurement, and coordinate repairs — across downstream and midstream.
KeplrAI provides maintenance intelligence for critical assets in hydrocarbon processing plants. Each asset learns to predict its own failures by analyzing streaming pressure, temperature, and vibration data, then… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. API for free deep learning models launched in 2016; newer entries below may have overtaken it.
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KeplrAI gives every critical asset in a plant its own maintenance intelligence. Assets predict failures, trigger parts procurement, and coordinate repairs — across downstream and midstream.
2017 · cusp.keplr.io · its alternatives →
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KeplrAI gives every critical asset in a plant its own maintenance intelligence. Assets predict failures, trigger parts procurement, and coordinate repairs — across downstream and midstream.
2016 · keplr.io · its alternatives →
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Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models
2016 · github.com · its alternatives →
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Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
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Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
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Copper is an operating system for robots - build, run, and replay your entire robot deterministically. - Home · copper-project/copper-rs Wiki
2024 · github.com · its alternatives →
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Copperhead – Hardware as Fast as Softwarefree tier, from $49/mo▲250An open-source AI agent that designs, documents and validates real PCBs from a prompt.
Sep 2026 · copperhead.sh · its alternatives →
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Production infrastructure for machine learning at scale - cortexlabs/cortex
2019 · github.com · its alternatives →
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2016 · tryhera.com · its alternatives →
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Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and…
2024 · github.com · its alternatives →
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Spice.ai▲63Hi HN, we’re Luke and Phillip, and we’re building Spice.ai OSS - a lightweight, portable data and AI engine and powered by Apache DataFusion & Ballista for SQL query, hybrid-search, and LLM-inference across disaggregated-storage used by enterprises like Barracuda Networks and Twilio. With v2.0, you can add a real-time analytics node to your operational database with high-throughput native CDC replication. We first introduced Spice [1] on HN in 2021 and re-launched it on HN [2] in 2024 re-built from the ground up in Rust. In 2025 we launched Spice Cayenne [5], our acceleration and query…
2023 · spice.ai · its alternatives →
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student, nomad in machine learning
2019 · littlemountainman.github.io · its alternatives →
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Production infrastructure for machine learning at scale - GitHub - cortexlabs/cortex at v0.15.1
2020 · 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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Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io · its alternatives →
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Predict with precision. Explain with clarity.
Jul 2026 · github.com · its alternatives →
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AI control plane to schedule, run, debug, observe, and automate AI/ML workloads, agents, and sandboxes on your infra.
2018 · polyaxon.com · its alternatives →
- 23OS
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025 · its alternatives →
- 24SA
2025 · spiceai.org · 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 →