jwtlogin-flask
ibis
| jwtlogin-flask | ibis | |
|---|---|---|
| 2 | 23 | |
| 3 | 4,304 | |
| - | 7.9% | |
| 0.0 | 10.0 | |
| almost 3 years ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jwtlogin-flask
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JWT App - Email Token Registration and Reset Password
To have access to all the code for this Flask application you can visit my repository on github which also contains the address for the online application, clicking here: jwtlogin-flask.
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Building a JWT login and registration backend with flask-praetorian for ReactJS frontend
Before running the Flask API its necessary to install a bunch of packages as you can check listed here requirements.txt.
ibis
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Show HN: Hashquery, a Python library for defining reusable analysis
I really don't understand the appeal of dbt vs a proper programming language. The templating approach leads to massive spaghetti. I look forward to trying out something like Ibis [0]
0: https://ibis-project.org/
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This Week In Python
ibis – portable Python dataframe library
- Ibis: The portable Python dataframe library
- FLaNK Stack 26 February 2024
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Quarto
The main benefit is that you get a Python (or R, Julia or Rust) interpreter. So you can evaluate code. A good example of the value of this is the Ibis docs which use Quarto: https://ibis-project.org/
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Polars – A bird's eye view of Polars
Ive found polars quite intuitive, though for python, I lean more towards [ibis](https://ibis-project.org/). The interface is nearly identical, but ibis has the benefit if building sql queries before pulling any actual data (like dbplyr) — whereas polars requires the data to be in-memory (at least for rdb’s, though correct me if Im wrong)
this to me seems like a good argument for only using ibis, but Im happy to be convinced otherwise
- Ibis – Universal Interface for Data Wrangling
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Vanna.ai: Chat with your SQL database
Please add Ibis Birdbrain https://ibis-project.github.io/ibis-birdbrain/ to the list. Birdbrain is an AI-powered data bot, built on Ibis and Marvin, supporting more than 18 database backends.
See https://github.com/ibis-project/ibis and https://ibis-project.org for more details.
- Ibis
What are some alternatives?
MasquerBot - A TelegramBot for true paranoids.
snowflake-connector-python - Snowflake Connector for Python
SQLAlchemy - The Database Toolkit for Python
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
Apache Impala - Apache Impala
jwtlogin-reactjs - a reactjs user registration and login authentication app consuming a Flask RESTful API.
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
sqlite_scanner - DuckDB extension to read and write to SQLite databases
katacoda
nodejs-polars - nodejs front-end of polars
django-clickhouse - This project's goal is to build Yandex ClickHouse database into Django project.