Life & fun · alternatives · 2026

24 alternatives to Gradient
ML-Powered Databricks Cluster Optimization for All
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Gradient launched in 2023; newer entries below may have overtaken it.
- 1

- 2

- 3

- 4

- 5GGradientMagic▲259
2020 · gradientmagic.com · its alternatives →
- 6
Design Gradients▲316Free gradients curated by designers to use anywhere you want
2022 · its alternatives →
- 7

- 8

- 9IV
2016 · gradient.quasi.ink · its alternatives →
- 10

- 11

Create unique customizable SVG gradients with MagicPattern
2022 · its alternatives →
- 12

- 13

A novel and easy way to design beautiful color gradients.
2020 · its alternatives →
- 14WS
Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available! `pip install banditpam` or `install.packages("banditpam")` and you're good to go! k-means is one of the most widely-used algorithms to cluster data. However, it has several limitations: a) it requires the use of L2 distance for efficient clustering, which also b) restricts the data you're clustering to be vectors, and c) doesn't require the means to be datapoints in the dataset. Unlike in k-means, the k-medoids problem requires cluster centers to be…
2023 · github.com · its alternatives →
- 15

Jupyter notebooks you can run on free cloud GPUs
2019 · its alternatives →
- 16

- 17

- 18

- 19

- 20AC
built a tiny pytorch clone in c after going through prof. vijay janapa reddi's mlsys book: mlsysbook.ai/tinytorch/ perfect for learning how ml frameworks work under the hood :)
Dec 2025 · github.com · its alternatives →
- 21GA
We’ve just launched Gradient — an API that helps you build private LLMs that you own. We simplify inference and fine-tuning on open-source LLMs such as llama2, and you only pay by the token. Our API platform makes it possible for you to create private models with a single API call. Run inference on your fine tuned model instantly with no cold boot (and no need to pay for compute costs). The product is truly on demand - when you run fine tuning and inference on our platform, there's nearly 0 startup latency for these API calls. And you're not paying for the compute, you just pay for the…
2023 · gradient.ai · its alternatives →
- 22

- 23

- 24

Also compare
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 →