Stars and mentions
Last 30 days, Oct 5 – Nov 3
Package downloads
Cumulative recorded downloads
Across 3 known packages in repositories pgcentralfoundation owns. Cumulative totals include recorded downloads before the selected range. Missing observations leave gaps; totals may be incomplete.
Top repositories
pgcentralfoundation’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside pgcentralfoundation’s account where pgcentralfoundation opened or reviewed pull requests in the past 365 days.
Who noticed pgcentralfoundation
Everyone who starred or forked pgcentralfoundation’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
Achievements
Awards earned by the repositories pgcentralfoundation owns. Select an award to embed its badge.
No awards yet
Repositories earn awards by reaching the top three in a completed trending day or week.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
PostgreSQL 正在吞噬整个数据库世界 坚实底座 + 万物皆可插件 PostgreSQL 坚实数据库底座 + 插件生态（Extensibility）= 多模态数据平台 Rust 语言加持，随着 pgrx（Build Postgres Extensions with Rust）成熟 进一步加速生态繁荣 pgcentralfoundation/pgrx PG 采用类似 MIT 的 PostgreSQL License，允许任何人闭源商业化 以前企业架构：MySQL（业务）+ Elasticsearch（搜索）+ Redis（缓存）+ InfluxDB（时序）+ Milvus（向量） 现在企业架构：一套 PostgreSQL + 对应插件，这极大地降低了数据同步延迟、运维成本和团队学习曲线 支撑多模态的三个底层关键： 可编程的索引架构（可插拔索引） PG 不仅有 B-Tree 索引 它提供了 GIN（倒排索引，干掉 ES 的核心）、GIST/SP-GIST（空间索引，PostGIS 的基石）、BRIN（块区间索引，时序海量数据的克星）以及 HNSW（pgvector 向量索引） 开发者不需要改动 PG 内核，就能自己实现一种全新的数据结构索引 强大的外表扩展（FDW - Foreign Data Wrappers） PG 的 FDW 允许它直接把外部的 Redis、MySQL、ClickHouse 甚至 S3 上的 Parquet 文件“映射”成 PG 里的一张表 哪怕数据不在 PG 内部，你也能用一条标准的 SQL 实现跨库、跨文件的联邦查询（Federated Query） 高阶数据类型与内置函数支持 在处理半结构化数据时，JSONB 的读写性能和检索效率在很多场景下甚至超越了专门的文档数据库 MongoDB 这让业务在面对频繁变动的字段时，拥有了极高的灵活性