datacompy
dbhub.io
| datacompy | dbhub.io | |
|---|---|---|
| 4 | 8 | |
| 386 | 356 | |
| 8.8% | 0.6% | |
| 7.5 | 9.5 | |
| 5 days ago | 12 days ago | |
| Python | Go | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
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datacompy
- How to Check 2 SQL Tables Are the Same
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Comparing 2 CSV files
datacompy is a package to compare 2 pandas dataframes
- Performing Data Tests on External Data/Complex Data Quality Checks
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Best Practice When Comparing Data Across Two SQL Servers in Python
https://github.com/capitalone/datacompy will allow you to compare two tables/dataframes against one another, and see detailed results on the difference.
dbhub.io
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A SQLite extension that brings column-oriented tables to SQLite
We have a spread of different GitHub Actions based workflows that do stuff whenever a PR is proposed or merged:
https://github.com/sqlitebrowser/sqlitebrowser/tree/master/....
Most of those are oriented around building packages for various OS's (Linux, macOS, Windows) so people can try the latest code.
While there are some tests, they're more like extremely basic sanity tests and don't rely on Docker.
Those tests rely on whichever version of SQLite was downloaded and compiled into the GUI (as per above code snippet).
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That being said, that's for the client side GUI application. There's a server side of things too (https://github.com/sqlitebrowser/dbhub.io -> dbhub.io) that does use docker for it's automated tests:
https://github.com/sqlitebrowser/dbhub.io/tree/master/.githu...
Those are integration tests though (eg "make sure we didn't bust communication with our cli", "make sure our go library still works 100% with the server"), and a reasonably decent set of End to End (E2E) tests of the web interface using Cypress.
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Does that help? :)
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Systemd auto-restarts of units can hide problems from you
> I now have some Go websites running for a long time with daily Systemd restarts.
Are the restarts needed because there's malicious over-size content being sent to it, trying to exhaust the server resources?
If so, then "http.MaxBytesReader" might be helpful:
https://github.com/sqlitebrowser/dbhub.io/blob/5c9e1ab1cfe0f...
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How to Check 2 SQL Tables Are the Same
Not sure if Go code is your kind of thing, but if it is my colleague wrote a SQLite "diff" capability for our online hosting operation:
https://github.com/sqlitebrowser/dbhub.io/blob/5c9e1ab1cfe0f...
The code there can also output a "merge" object out of the differences too, in order to merge the differences from one database object into another.
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What would be the easiest way to make a database available online?
https://dbhub.io/ ?
- DBHub: SQLite Storage “In the Cloud”
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User friendly GUI for OSX
It's open source, free, cross platform and frequently updated. You can also use https://dbhub.io as a way to backup and share your databases.
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Made a Python library for accessing and using SQLite databases on DBHub.io
I just finished my project 'pydbhub ' for accessing and using SQLite databases on DBHub.io.
- DBHub – SQLite Storage “In the Cloud”
What are some alternatives?
koalas - Koalas: pandas API on Apache Spark
sqlitebrowser - Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
data-diff - Compare tables within or across databases
pydbhub - A Python library for accessing and using SQLite databases on DBHub.io
dbt-audit-helper - Useful macros when performing data audits
datasette - An open source multi-tool for exploring and publishing data
visualiza - A general-purpose dynamic data visualizer.
Sequel-Ace - MySQL/MariaDB database management for macOS
popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎
postgres-operator - Postgres operator creates and manages PostgreSQL clusters running in Kubernetes