Airbnb Aerosolve by airbnb
A machine learning package built for humans.
About Airbnb Aerosolve
From the project's README at github.com/airbnb/aerosolve. Lightly cleaned for readability; for the full source see the upstream repo.
A machine learning library designed from the ground up to be human friendly. It is different from other machine learning libraries in the following ways:
A thrift based feature representation that enables pairwise ranking loss and single context multiple item representation. A feature transform language gives the user a lot of control over the features Human friendly debuggable models Separate lightweight Java inference code Scala code for training Simple
Health score breakdown
6-dimension composite. See methodology for formula and weights.
Adoption signals
Real-world usage data, pulled from each registry. The bigger the numbers, the more battle-tested the project.
| Signal | Value | Source |
|---|---|---|
| GitHub stars | 4.8k | github.com/airbnb/aerosolve |
| GitHub forks | 565 | github.com/airbnb/aerosolve |
Release & maintenance
Is this project actively maintained, or about to die? Check the recency of last commit and last release.
| Project age | 11.0 years | since May 2015 |
| Last commit | 6 months ago | Nov 6, 2025 |
| Releases shipped | 2 | last: 10 months ago |
| Security policy | SECURITY.md | declared by maintainers |
Self-hosting cost across providers
Detected requirements: 4GB RAM, 40GB disk minimum. Cheapest plan per provider that meets the requirement.
| Provider | Plan | Specs | Monthly | |
|---|---|---|---|---|
| hetzner | CAX11 | 2c · 4GB · 40GB | $4.13 USD | Deploy → |
| vultr | VC2 | 1c · 1GB · 25GB | $5 USD | Deploy → |
| linode | Nanode 1GB | 1c · 1GB · 25GB | $5.12 USD | Deploy → |
| digitalocean | Basic Regular 1GB | 1c · 1GB · 25GB | $6 USD | Deploy → |
Ready to self-host Airbnb Aerosolve?
Spin up a hetzner CAX11 (4GB RAM, 40GB disk) for $4.13/mo and follow the project's official install docs.
Data last refreshed May 7, 2026.