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Life & fun · alternatives · 2026

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24 alternatives to 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.

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… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A user interface for Postgres EXPLAIN that also gives tips launched in 2019; newer entries below may have overtaken it.

  1. 1

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

    2019 · github.com · its alternatives →

  2. 2

    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!

    2024 · github.com · its alternatives →

  3. 3

    Hands-on tutorials to learn Postgres

    2022 · crunchydata.com · its alternatives →

  4. 4

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

    2022 · github.com · its alternatives →

  5. 5

    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.

    2023 · github.com · its alternatives →

  6. 6

    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…

    Feb 2026 · github.com · its alternatives →

  7. 7

    Non-interactive PostgreSQL query tool. Contribute to soheilpro/pgcmd development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  8. 8PA
  9. 9

    Automated EXPLAIN Plan Visualization & Insights for Postgres

    2019 · pganalyze.com · its alternatives →

  10. 10

    Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  11. 11

    Happy Cyber Monday!

    2014 · psequel.com · its alternatives →

  12. 12

    pg_netstat is a Postgres extension to monitor database network traffic. It uses libpcap to capture packets and aggregates at user-specified interval.

    2022 · github.com · its alternatives →

  13. 13

    Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.

    2014 · github.com · its alternatives →

  14. 14

    This is a Postgres extension that can determine if a query should have an index. For example, for this table: create table book( id int primary key, title text not null ); You can run `index_advisor()` to see if there should be an index on a select statement: select * from index_advisor('select book.id from book where title = $1'); And it will return (summarized): {"CREATE INDEX ON public.book USING btree (title)"} It works particularly well with pg_stat_statements[0] which tracks execution statistics of all SQL statements executed on your Postgres database. It leans heavily on HypoPG[1], an…

    2024 · github.com · its alternatives →

  15. 15
    PgDog▲227

    Scale PostgreSQL without changing your app

    Jul 2026 · pgdog.dev · its alternatives →

  16. 16PE
  17. 17
    Outerbase▲298

    The interface for your database

    2023 · its alternatives →

  18. 18PN

    We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org

    2022 · postgresml.org · its alternatives →

  19. 19

    GraphQL for Postgres. Contribute to solidsnack/GraphpostgresQL development by creating an account on GitHub.

    2015 · github.com · its alternatives →

  20. 20

    Branch your PostgreSQL Database like Git. Contribute to sastraxi/pgsh development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  21. 21

    Generate DOT description for postgres db schema. Contribute to akarki15/dbdot development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  22. 22

    sql-tap is a transparent proxy that captures SQL queries by parsing the PostgreSQL/MySQL wire protocol and displays them in a terminal UI. You can run EXPLAIN on any captured query. No application code changes needed — just change the port.

    Feb 2026 · github.com · its alternatives →

  23. 23PA
  24. 24

    Originally inspired by pg_regress, pg_yregress provides a TAP-compatible test executor that allows for better test organization, easier instance management, native JSON handling and so on.

    2023 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →