Baserow is an open source no-code database tool and Airtable alternative

Overview

Baserow

Open source no-code database tool and Airtable alternative. Join our forum on https://community.baserow.io/ or on Gitter via https://gitter.im/bramw-baserow/community.

Warning: From version 0.8.0 to 1.4.1 of Baserow the docker-compose.yml included in the root of this repository has exposed an unsecured redis instance by default on the ip:port 0.0.0.0:6379. If you have been running a server which is accessible via the internet using this docker-compose.yml then it is possible this redis server has been exposed to the internet depending on your operating system, networking setup and firewall settings. Please update to the latest version of Baserow, 1.4.2 which no longer exposes the redis, db and mjml containers. Additionally, 1.4.2 only exposes the backend, web-frontend and media containers on localhost and not on 0.0.0.0. If you were previously relying on docker-compose.yml publicly exposing Baserow then please follow the Make Baserow publicly accessible section in the docker how to guide.

Deploy to Heroku Beta

We're hiring remote developers! More information at https://baserow.io/jobs/experienced-full-stack-developer.

Baserow screenshot

Introduction

Create own database without technical experience. Our user friendly no-code tool gives you the powers of a developer without leaving your browser.

  • Uses popular frameworks like Django and Nuxt.js.
  • Uses PostgreSQL.
  • Open source.
  • MIT license.
  • Self hosted.
  • Headless and API first.
  • Modular architecture.
  • Supports plugins.
  • Includes a plugin boilerplate.
  • Unlimited rows.
  • Runs in your browser.
  • Alternative to Airtable.

Self host

Try out Baserow on your machine

If you just want to try out Baserow, you can create an account on the SaaS version at https://baserow.io. Just click on the create account or register button at the homepage.

If you want to try out Baserow on your own computer, you can easily start a local environment via docker-compose. Just clone the repository, run the following commands and visit http://localhost:3000 in your browser.

$ git clone --branch master https://gitlab.com/bramw/baserow.git
$ cd baserow
$ docker-compose up 

More detailed instructions and more information about running baserow locally check here or at https://baserow.io/docs/guides/running-baserow-locally.

Development environment

If you want to contribute to Baserow you need to setup the development environment. Execute the following commands to start a development version of the baserow environment which has debug and hot re-loading features enabled.

$ git clone --branch master https://gitlab.com/bramw/baserow.git
$ cd baserow
$ docker-compose -f docker-compose.yml -f docker-compose.dev.yml up
$ # OR use our ./dev.sh script which also ensures your dev containers run as your user
$ ./dev.sh --build

The Baserow development environment is now running. Visit http://localhost:3000 in your browser and you should see a working version in development mode.

More detailed instructions and more information about the development environment can be found here or at https://baserow.io/docs/development/development-environment.

Plugin development

Because of the modular architecture of Baserow it is possible to create plugins. Make your own fields, views, applications, pages or endpoints. We also have a plugin boilerplate to get you started right away. More information can be found in the plugin introduction and in the plugin boilerplate docs.

Official documentation

The official documentation can be found on the website at https://baserow.io/docs/index or here inside the repository. The API docs can be found here at https://api.baserow.io/api/redoc/ or if you are looking for the OpenAPI schema here https://api.baserow.io/api/schema.json.

Become a sponsor

If you would like to get new features faster, then you might want to consider becoming a sponsor. By becoming a sponsor we can spend more time on Baserow which means faster development.

Become a GitHub Sponsor

Meta

Created by Baserow B.V. - [email protected].

Distributes under the MIT license. See LICENSE for more information.

Version: 1.7.1

The official repository can be found at https://gitlab.com/bramw/baserow.

The changelog can be found here.

Become a GitHub Sponsor here.

Community chat via https://gitter.im/bramw-baserow/community.

Tool for synchronizing clickhouse clusters

clicksync Tool for synchronizing clickhouse clusters works only with partitioned MergeTree tables can sync clusters with different node number uses in

Alexander Rumyantsev 1 Nov 30, 2021
A wrapper around asyncpg for use with sqlalchemy

asyncpgsa A python library wrapper around asyncpg for use with sqlalchemy Backwards incompatibility notice Since this library is still in pre 1.0 worl

Canopy 404 Dec 03, 2022
asyncio compatible driver for elasticsearch

asyncio client library for elasticsearch aioes is a asyncio compatible library for working with Elasticsearch The project is abandoned aioes is not su

97 Sep 05, 2022
Sample scripts to show extracting details directly from the AIQUM database

Sample scripts to show extracting details directly from the AIQUM database

1 Nov 19, 2021
Use SQL query in a jupyter notebook!

SQL-query Use SQL query in a jupyter notebook! The table I used can be found on UN Data. Or you can just click the link and download the file undata_s

Chuqin 2 Oct 05, 2022
Python PostgreSQL adapter to stream results of multi-statement queries without a server-side cursor

streampq Stream results of multi-statement PostgreSQL queries from Python without server-side cursors. Has benefits over some other Python PostgreSQL

Department for International Trade 6 Oct 31, 2022
Class to connect to XAMPP MySQL Database

MySQL-DB-Connection-Class Class to connect to XAMPP MySQL Database Basta fazer o download o mysql_connect.py e modificar os parĂ¢metros que quiser. E d

Alexandre Pimentel 4 Jul 12, 2021
A fast MySQL driver written in pure C/C++ for Python. Compatible with gevent through monkey patching.

:: Description :: A fast MySQL driver written in pure C/C++ for Python. Compatible with gevent through monkey patching :: Requirements :: Requires P

ESN Social Software 549 Nov 18, 2022
Official Python low-level client for Elasticsearch

Python Elasticsearch Client Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Py

elastic 3.8k Jan 01, 2023
Python ODBC bridge

pyodbc pyodbc is an open source Python module that makes accessing ODBC databases simple. It implements the DB API 2.0 specification but is packed wit

Michael Kleehammer 2.6k Dec 27, 2022
Find graph motifs using intuitive notation

d o t m o t i f Find graph motifs using intuitive notation DotMotif is a library that identifies subgraphs or motifs in a large graph. It looks like t

APL BRAIN 45 Jan 02, 2023
Python Wrapper For sqlite3 and aiosqlite

Python Wrapper For sqlite3 and aiosqlite

6 May 30, 2022
A tutorial designed to introduce you to SQlite 3 database using python

SQLite3-python-tutorial A tutorial designed to introduce you to SQlite 3 database using python What is SQLite? SQLite is an in-process library that im

0 Dec 28, 2021
Anomaly detection on SQL data warehouses and databases

With CueObserve, you can run anomaly detection on data in your SQL data warehouses and databases. Getting Started Install via Docker docker run -p 300

Cuebook 171 Dec 18, 2022
Pure Python MySQL Client

PyMySQL Table of Contents Requirements Installation Documentation Example Resources License This package contains a pure-Python MySQL client library,

PyMySQL 7.2k Jan 09, 2023
Micro ODM for MongoDB

Beanie - is an asynchronous ODM for MongoDB, based on Motor and Pydantic. It uses an abstraction over Pydantic models and Motor collections to work wi

Roman 993 Jan 03, 2023
A selection of SQLite3 databases to practice querying from.

Dummy SQL Databases This is a collection of dummy SQLite3 databases, for learning and practicing SQL querying, generated with the VS Code extension Ge

1 Feb 26, 2022
Pystackql - Python wrapper for StackQL

pystackql - Python Library for StackQL Python wrapper for StackQL Usage from pys

StackQL Studios 6 Jul 01, 2022
Google Cloud Client Library for Python

Google Cloud Python Client Python idiomatic clients for Google Cloud Platform services. Stability levels The development status classifier on PyPI ind

Google APIs 4.1k Jan 01, 2023
Generate database table diagram from SQL data definition.

sql2diagram Generate database table diagram from SQL data definition. e.g. "CREATE TABLE ..." See Example below How does it works? Analyze the SQL to

django-cas-ng 1 Feb 08, 2022