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Life & fun · July 3, 2019

AU

A user interface for Postgres EXPLAIN that also gives tips

pgMustard is a Postgres EXPLAIN visualisation tool that also gives performance advice, scored based on its potential to speed up your query.

A user interface for Postgres EXPLAIN that also gives tips launched on July 3, 2019 with 50 votes, #691 of 3,007 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 7 years on.

Visit pgmustard.com ↗Alternativestop 23% of July 2019

In plain words

PG Mustard is a user interface designed to help developers analyze PostgreSQL query performance through the EXPLAIN command. It visualizes query execution plans and provides optimization tips to improve database efficiency. The tool is intended for developers and database administrators working with PostgreSQL who want a more accessible way to understand and debug slow queries.

written from the facts on this page · September 2026

From the sources

Even if you know how, Postgres includes so much useful information, it is easy to miss something important. And for queries that do a lot, the plans are even more useful-yet-time-consuming. pgMustard speeds up your journey from knowing which query is a problem to working out what can be done about it . You’ll be able to see at a glance where the time is going, as well as jump straight to the important statistics. If you need a refresher on what something means, or want to read up on how it works, those are there for you too. We have also put effort into minimizing red-herrings, helping you avoid distractions like a sequential scan on a small table, or a bad row estimate on a fast subplan.…from pgmustard.com

Does a similar job

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  • pg_flame – flamegraph visualizations of PostgreSQL query plans2019 · github.com · ▲321

    A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame

  • PgQueuer – Transform PostgreSQL into a Job Queue2024 · github.com · ▲376

    PgQueuer is a Python job queue that uses PostgreSQL for everything — queue storage, locking, notifications. No Redis, no RabbitMQ, no separate broker to operate. If your app already has Postgres, you already have the broker. After ~2 years and 26 minor releases, 1.0 ships today as the first stable release. Strict semver from here on. Thanks to everyone who contributed and left feedback!

  • Postgres Playground2022 · crunchydata.com · ▲161

    Hands-on tutorials to learn Postgres

  • PgCat, Postgres pooler with sharding, load balancing and failover2022 · github.com · ▲233

    PostgreSQL pooler with sharding, load balancing and failover support. - postgresml/pgcat

  • Postgres query lock explainer2023 · github.com · ▲143

    This is like 4 years old, but I’m braver now and ready to share stuff with this community. I’ve been a lurker for a while. I made this tool - it’s kind of like “explain” but it tells you about what locks would be required by the query. I was making it as part of a larger tool that would try to prevent deadlocks during migrations at my last company, I never finished it.

  • PgDog – Scale Postgres without changing the appFeb 2026 · github.com · ▲326

    Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…

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