A CLI tool that lets you run SQL queries against CSV and TSV (tab-separated values) files. This includes data from shell pipes, like the output of ps or other tools.

minidb 2 makes it easy to store Python objects in a SQLite 3 database and work with the data in an easy way with concise syntax. Designed for embedded use (imported as a module) and not a stand-alone server. Supports SQL queries.

FormatExpress is an easy-to-use online formatter where you simply paste some bunch of raw XML, JSON, CSS or SQL, to get it automatically beautified. The most common use-case is to help reading minified input found in logs or web services.

psql and shell scripts for maintaining a Matrix Synapse chat server. Currently looking for maintainers.

Since Yahoo killed off their Where-On-Earth (WOEID) API service, it hasn't been possible to use it to get WOEID maprefs for certain APIs. Thankfully, some kind soul uploaded it to the Internet Archive.

The contents are five TSV (tab separated value) files, a Readme.txt file, and a license.txt file.

If you want to read them into a SQLite database (and you'll need to set a primary key on each table), do this:

user@host: sqlite3 geoplanet.sqlite
sqlite> .mode tabs
sqlite> PRAGMA foreign_keys=off;

sqlite> CREATE TABLE adjacencies (id INTEGER PRIMARY KEY, Place_WOE_ID TEXT, Place_ISO TEXT, Neighbour_WOE_ID TEXT, Neighbour_ISO TEXT);
sqlite> .import geoplanet_adjacencies_7.10.0.tsv temp_adjacencies
sqlite> INSERT INTO adjacencies(Place_WOE_ID, Place_ISO, Neighbour_WOE_ID, Neighbour_ISO) SELECT Place_WOE_ID, Place_ISO, Neighbour_WOE_ID, Neighbour_ISO from temp_adjacencies;
sqlite> drop table temp_adjacencies;

sqlite> CREATE TABLE admins (id INTEGER PRIMARY KEY, WOE_ID TEXT, iso TEXT, State TEXT, County TEXT, Local_Admin TEXT, Country TEXT, Continent TEXT);
sqlite> .import geoplanet_admins_7.10.0.tsv temp_admins
sqlite> INSERT INTO admins(WOE_ID, iso, State, County, Local_Admin, Country, Continent) SELECT WOE_ID, iso, State, County, Local_Admin, Country, Continent from temp_admins;
sqlite> drop table temp_admins;

sqlite> CREATE TABLE aliases (id INTEGER PRIMARY KEY, WOE_ID TEXT, Name TEXT, Name_Type TEXT, Language Text);
sqlite> .import geoplanet_aliases_7.10.0.tsv temp_aliases
sqlite> INSERT INTO aliases(WOE_ID, Name, Name_Type, Language) SELECT WOE_ID, Name, Name_Type, Language from temp_aliases;
sqlite> DROP TABLE temp_aliases;

sqlite> CREATE TABLE changes (id INTEGER PRIMARY KEY, Woe_id TEXT, Rep_id TEXT, Data_Version TEXT);
sqlite> .import geoplanet_changes_7.10.0.tsv temp_changes
sqlite> INSERT INTO changes (Woe_id, Rep_id, Data_Version) SELECT Woe_id, Rep_id, Data_Version from temp_changes;
sqlite> DROP TABLE temp_changes;

sqlite> CREATE TABLE places (id INTEGER PRIMARY KEY, WOE_ID TEXT, ISO TEXT, Name TEXT, Language TEXT, PlaceType TEXT, Parent_ID TEXT);
sqlite> .import geoplanet_places_7.10.0.tsv temp_places
sqlite> INSERT INTO places (WOE_ID, ISO, Name, Language, PlaceType, Parent_ID) SELECT WOE_ID, ISO, Name, Language, PlaceType, Parent_ID from temp_places;
sqlite> drop table temp_places;

sqlite> PRAGMA foreign_keys=on;
sqlite> .quit

I would also recommend cleaning up after yourself:
user@host: sqlite3 geoplanet.sqlite
sqlite> VACUUM;
sqlite> .quit

The Geoplanet database is licensed by Yahoo! Geoplanet as Creative Commons By Attribution v3.0:
http://creativecommons.org/licenses/by/3.0/us/

dataset provides a simple abstraction layer removes most direct SQL statements without the necessity for a full ORM model - essentially, databases can be treated like a JSON file, a hash table or a NoSQL datastore.

Schema is automatically generated and updated. If you want to, you can use SQLite's in-memory database functionality. Records are either created or updated automatically, depending on whether or not they exist already. Built on top of SQLalchemy so whatever it supports, dataset supports.

Github: https://github.com/pudo/dataset

A distributed database that speaks MySQL's dialect of SQL and wire protocol on the front end, and is a fully distributed database system on the back end. Automatically shards databases efficiently. Implements ACID compliant distributed transactions for consistency.

Command line utility which lets you run SQL queries against CSV and TSV files.

A utility capable of fingerprinting back-end SQL databases, pulling authentication credentials and schemas, enumerating databases, and generating SQL injection attacks against web applications. Can handle MySQL, Oracle, Postgres, SQL Server, DB2, and other systems.

A handy cheatsheet for crafting SQL injection attacks against web apps backed by Oracle.

A handy cheatsheet for crafting SQL injection attacks against web applications.

A free, open source application that makes manipulating SQLite databases easier. Designed with both people who aren't skilled with databases and administrators in mind.

How to use PySQLite to interact with SQLite databases.

Implements a SQL layer on top of the OS so you can run queries against system state. Stores and detects state differences. Uses the underlying system API to do its thing. Daemon, with a CLI interface. Alerting, et al has to be implemented yourself but at least the base layer is done for you.