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Flask-sqlalchemy Alternatives
Similar projects and alternatives to flask-sqlalchemy
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libcurl
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
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sqlitebrowser
Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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sqlalchemy-filters-plus
Lightweight library for providing filtering mechanism for your APIs using SQLAlchemy
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mentorship-backend
Mentorship System is an application that matches women in tech to mentor each other, on career development, through 1:1 relations during a certain period of time. This is the backend of this system.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better flask-sqlalchemy alternative or higher similarity.
flask-sqlalchemy reviews and mentions
Posts with mentions or reviews of flask-sqlalchemy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-08.
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Voting webapp saves votes locally, but not on server
You should probably use a database for this, using something like sqlite a single file "database" is probably the quickest way to get started, I recommend you use it with Flask-SQLAlchemy which makes working with the db easy as pie.
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How to build an API using Flask
Flask-SQLAlchemy: An extension that integrates SQLAlchemy with Flask. You can install it using pip install flask-sqlalchemy.
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How to dynamically generate graphics and PDFs using Python an jinja
flask-sqlalchemy: ORM for database access
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pagination in flask
I've made several runs at stripping the essential paginating functionality of flask-sqlalchemy for use with things like lists. That's where I'd start.
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Connect Flask APP to Two Already Existing Tables in two distinct databases
You can either use an ORM, which might be sqlalchemy, possibly wrapped up as a flask plugin https://flask-sqlalchemy.palletsprojects.com/ or more directly: https://www.sqlalchemy.org/
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Methods for dynamically loading test db data
You can learn more about this approach and see an example is this Flask-SQLAlchemy PR.
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Usage of Restful API + Database with Flask
Flask SQL Alchemy
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I built an Image Search Engine using OpenAI CLIP and Images from Wikimedia
I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP using the CLIP image vectors.
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I uninstalled an reinstalled sqalalchemy to get the latest version. Now my flask app won't work.
This appears to be this: https://github.com/pallets/flask-sqlalchemy/issues/910
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Problem with circular imports and app context
from sqlalchemy.engine.reflection import Inspector from sqlalchemy.schema import DropConstraint, DropTable, MetaData, Table from extensions import db # from dotmap import DotMap def try_add(object): """ Try to add the column 'object' to its table in the database and return it. """ try: db.session.add(object) db.session.commit() return object except Exception: db.session.rollback() raise def drop_all_cascade(): """(On a live db) drops all foreign key constraints before dropping all tables. Workaround for SQLAlchemy not doing DROP ## CASCADE for drop_all() (https://github.com/pallets/flask-sqlalchemy/issues/722) """ con = db.engine.connect() trans = con.begin() inspector = Inspector.from_engine(db.engine) # We need to re-create a minimal metadata with only the required things to # successfully emit drop constraints and tables commands for postgres # (based on the actual schema of the running instance) meta = MetaData() tables = [] all_fkeys = [] for table_name in inspector.get_table_names(): fkeys = [] for fkey in inspector.get_foreign_keys(table_name): if not fkey["name"]: continue fkeys.append(db.ForeignKeyConstraint((), (), name=fkey["name"])) tables.append(Table(table_name, meta, *fkeys)) all_fkeys.extend(fkeys) for fkey in all_fkeys: con.execute(DropConstraint(fkey)) for table in tables: con.execute(DropTable(table)) trans.commit()
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Stats
Basic flask-sqlalchemy repo stats
11
4,149
8.1
14 days ago
pallets-eco/flask-sqlalchemy is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of flask-sqlalchemy is Python.
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