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mgramin
awesome-db-tools
Developer Tools2022–2023
mgramin / awesome-db-tools

awesome-db-tools

Everything that makes working with databases easier

3Distinct people
6Mentions
0Explicit recommenders
5.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Everything that makes working with databases easier

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month6 dated mentions

Observed mentions: 2022-05-04 19:54:36 UTC to 2023-08-09 20:31:46 UTC.

012342022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 commentsMay 20222022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 20222023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC413
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC110
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC000
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC000
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC000
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC000
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC101

What Hacker News says

6 sources
#. SQLite WAL mode From https://www.sqlite.org/isolation.html https://news.ycombinator.com/item?id=32247085 : > [sqlite] WAL mode permits simultaneous readers and writers. It can do this because changes do not overwrite the original database file, but rather go into the separate write-ahead log file. That means that readers can continue to read the old, original, unaltered content from the original database file at the same time that the writer is appending to the write-ahead log #. superfly/litefs: a FUSE-based file system for replicating SQLite https://github.com/superfly/litefs #. sqldiff: https://www.sqlite.org/sqldiff.html https://news.ycombinator.com/item?id=31265005 #. dolthub/dolt: https://github.com/dolthub/dolt : > Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a Git repository. [...] > D
Read the rest
olt can be set up as a replica of your existing MySQL or MariaDB database using standard MySQL binlog replication. Every write becomes a Dolt commit. This is a great way to get the version control benefits of Dolt and keep an existing MySQL or MariaDB database. #. github/gh-ost: https://github.com/github/gh-ost : > Instead, gh-ost uses the binary log stream to capture table changes, and asynchronously applies them onto the ghost table. gh-ost takes upon itself some tasks that other tools leave for the database to perform. As result, gh-ost has greater control over the migration process; can truly suspend it; can truly decouple the migration's write load from the master's workload. #. vlcn-io/cr-sqlite: https://github.com/vlcn-io/cr-sqlite : > Convergent, Replicated SQLite. Multi-writer and CRDT support for SQLite > CR-SQLite is a run-time loadable extension for SQLite and libSQL. It allows merging different SQLite databases together that have taken independent writes. > In other words, you can write to your SQLite database while offline. I can write to mine while offline. We can then both come online and merge our databases together, without conflict. > In technical terms: cr-sqlite adds multi-master replication and partition tolerance to SQLite via conflict free replicated data types (CRDTs) and/or causally ordered event logs. yjs also does CRDTs (Jupyter RTC,) #. pganalyze/libpg_query: https://github.com/pganalyze/libpg_query : > C library for accessing the PostgreSQL parser outside of the server environment #. Ibis + Substrait [ + DuckDB ] https://ibis-project.org/blog/ibis_substrait_to_duckdb/ : > ibis strives to provide a consistent interface for interacting with a multitude of different analytical execution engines, most of which (but not all) speak some dialect of SQL. > Today, Ibis accomplishes this with a lot of help from `sqlalchemy` and `sqlglot` to handle differences in dialect, or we interact directly with available Python bindings (for instance with the pandas, datafusion, and polars backends). > [...] `Substrait` is a new cross-language serialization format for communicating (among other things) query plans. It's still in its early days, but there is already nascent support for Substrait in Apache Arrow, DuckDB, and Velox. #. ibis-project/ibis-substrait: https://github.com/ibis-project/ibis-substrait #. tobymao/sqlglot: https://github.com/tobymao/sqlglot : > SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects. > It is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python. > You can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL. > Syntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot’s goal, so some syntax errors may go unnoticed. #. benbjohnson/postlite: https://github.com/benbjohnson/postlite : > postlite is a network proxy to allow access to remote SQLite databases over the Postgres wire protocol. This allows GUI tools to be used on remote SQLite databases which can make administration easier. > The proxy works by translating Postgres frontend wire messages into SQLite transactions and converting results back into Postgres response wire messages. Many Postgres clients also inspect the pg_catalog to determine system information so Postlite mirrors this catalog by using an attached in-memory database with virtual tables. The proxy also performs minor rewriting on these system queries to convert them to usable SQLite syntax. > Note: This software is in alpha. Please report bugs. Postlite doesn't alter your database unless you issue INSERT, UPDATE, DELETE commands so it's probably safe. If anything, the Postlite process may die but it shouldn't affect your database. #. > "Hosting SQLite Databases on GitHub Pages" (2021) re: sql.js-httpvfs, DuckDB https://news.ycombinator.com/item?id=28021766 #. >> - bittorrent/sqltorrent https://github.com/bittorrent/sqltorrent >> Sqltorrent is a custom VFS for sqlite which allows applications to query an sqlite database contained within a torrent. Queries can be processed immediately after the database has been opened, even though the database file is still being downloaded. Pieces of the file which are required to complete a query are prioritized so that queries complete reasonably quickly even if only a small fraction of the whole database has been downloaded. #. simonw/datasette-lite: https://github.com/simonw/datasette-lite datasette, *-to-sqlite, dogsheep "Loading SQLite databases" [w/ datasette] https://github.com/simonw/datasette-lite#loading-sqlite-data... #. awesome-db-tools: https://github.com/mgramin/awesome-db-tools Lots of neat SQLite/vtable/pg/replication things
In SQLedge: Replicate Postgres to SQLite on the Edge

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