tobegit3hub/advisor
Open-source implementation of Google Vizier for hyper parameters tuning observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3275
- days_rel: n/a
- days_push: 2487
- n_releases_24m: 0
Adoption not part of the score
1563 stars · 251 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Advisor is an open-source implementation of Google Vizier, a hyperparameter tuning system for black-box optimization. It provides a server with web UI, Python SDK, and CLI, supporting algorithms like Bayesian optimization, TPE, grid/random search, and early stopping.
Use cases
- tune hyperparameters of machine learning models
- run Bayesian optimization for black-box functions
- self-host a Google Vizier-like tuning service
- compare hyperparameter search algorithms like TPE and CMAES
- early-stop underperforming training trials
- manage hyperparameter tuning studies via CLI or Python SDK
When to choose
- you want an open-source Google Vizier equivalent with API, SDK, web UI, and CLI
- you need multiple search algorithms (Bayesian, TPE, grid, random, CMAES) in one service
- you want to deploy a tuning service on Docker or Kubernetes
- you need early-stopping algorithms for expensive training jobs
When to avoid
- you need actively maintained software with recent releases
- you want a modern AutoML platform like Optuna, Ray Tune, or Microsoft NNI with larger communities
- you only need simple grid or random search without a server
- you require SMAC or other unsupported algorithms
Facets
service · maturity maintenance
machine-learning sdk cli api-framework machine-learning artificial-intelligence developer-tools python cli hyperparameter-tuning automl blackbox-optimization google-vizier bayesian-optimization docker kubernetes web-server
2 sources
- readme: https://github.com/tobegit3hub/advisor · fetched 2026-08-28 · a75be3264f1c
- registry_pypi: https://pypi.org/pypi/advisor/json · fetched 2026-08-29 · 8a58748e98be
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tobegit3hub/advisor | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="tobegit3hub/advisor")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem