# Tencent/plato

腾讯高性能分布式图计算框架Plato

Repository: https://github.com/Tencent/plato
Canonical: https://ross.abutalabs.com/products/tencent-plato
Language: C++
License: NOASSERTION
License Family: other
Topics: plato, graph-computing
Last push: 2021-08-14T05:54:28+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2490, "days_push": 1845, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1911, forks 327 (observed 2026-08-28T04:05:53.275077+00:00)

## What it is
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
- artifact type: framework
- maturity: maintenance
- function: machine-learning, concurrency, data-science
- domain: graph-processing, big-data, microservices, machine-learning
- platform: cpp
- tags: graph-computing, distributed-graph-processing, graph-algorithms, pagerank, random-walk, mpi, hdfs, linux, docker

## Member repositories
- Tencent/plato (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:53.275077+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:10:46.815924+00:00, confidence not recorded.
  - readme: https://github.com/Tencent/plato (fetched 2026-08-28T04:05:53.275077+00:00, sha 336a5d95cb55)
- Data as of 2026-08-30T08:39:29.467469+00:00.