Tencent/plato
腾讯高性能分布式图计算框架Plato observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: no_license
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: 2490
- days_rel: n/a
- days_push: 1845
- n_releases_24m: 0
Adoption not part of the score
1911 stars · 327 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Plato is Tencent's high-performance distributed graph computation framework, developed for graph processing and graph machine learning at WeChat scale. It is built in C++ on MPI and HDFS, based on research systems like Gemini and KnightKing.
Use cases
- run pagerank on a large graph cluster
- distributed graph computation at wechat scale
- graph embedding via random walks
- process billion-edge graphs on a cluster
- compute graph algorithms with MPI and HDFS
When to choose
- you need to run graph algorithms like PageRank on very large graphs across a Linux cluster
- you want a high-performance C++ graph engine with random walk support
- your data lives on HDFS and you can submit MPI jobs
When to avoid
- you need a single-machine or Python-friendly graph library
- you need Windows or macOS support
- you want an actively maintained project with recent releases
Facets
framework · maturity maintenance
machine-learning concurrency data-science graph-processing big-data microservices machine-learning cpp graph-computing distributed-graph-processing graph-algorithms pagerank random-walk mpi hdfs linux docker
1 source
- readme: https://github.com/Tencent/plato · fetched 2026-08-28 · 336a5d95cb55
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Tencent/plato | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem