Open Source Python JSON Software - Page 2
Sort By:
Python JSON Software
View related business solutionsBrowse free open source Python JSON Software and projects below. Use the toggles on the left to filter open source Python JSON Software by OS, license, language, programming language, and project status.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
1
simplejson
simplejson is a simple, fast, extensible JSON encoder/decoder
simplejson is a simple, fast, complete, correct and extensible JSON <http://json.org> encoder and decoder for Python 3.3+ with legacy support for Python 2.5+. It is pure Python code with no dependencies but includes an optional C extension for a serious speed boost. simplejson is the externally maintained development version of the json library included with Python (since 2.6). This version is tested with the latest Python 3.8 and maintains backward compatibility with Python 3.3+ and the legacy Python 2.5 - Python 2.7 releases. The encoder can be specialized to provide serialization in any kind of situation, without any special support by the objects to be serialized (somewhat like pickle). This is best done with the default kwarg to dumps. -
2
Canmatrix
Converting Can (Controller Area Network) Database Formats
Canmatrix is a Python package to read and write several CAN (Controller Area Network) database formats. Canmatrix implements a "Python Can Matrix Object" which describes the can-communication and the needed objects (Board units, Frames, Signals, Values, ...) Canmatrix also includes two Tools (can convert and can compare) for converting and comparing CAN databases. -
3
Python JSONPath Next-Generation
JSONPath implementation for Python that aims to be standard compliant
A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators, as defined in the original JSONPath proposal. This package merges both jsonpath-rw and jsonpath-rw-ext and provides several AST API enhancements, such as the ability to update or remove nodes in the tree. This library provides a robust and significantly extended implementation of JSONPath for Python. It is tested with CPython 3.7 and higher. This library differs from other JSONPath implementations in that it is a full language implementation, meaning the JSONPath expressions are first-class objects, easy to analyze, transform, parse, print, and extend. -
4
jsondiff
Diff JSON and JSON-like structures in Python
Diff JSON and JSON-like structures in Python. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
Mashumaro
Fast and well tested serialization library on top of dataclasses
When using data classes, you often need to dump and load objects based on the schema you have. Mashumaro not only lets you save and load things in different ways, but it also does it super quickly. -
6
SAFRS
SqlAlchemy Flask-Restful Swagger Json:API OpenAPI
SAFRS exposes SQLAlchemy database models as a JSON:API web service and generates the corresponding swagger/OpenAPI. Database objects such as the User class from the demo.py example can be extended to include relationships with other objects. The demo_relationship.py contains the following extension of the User class where a relationship with the Book class is implemented. -
7
CrowdAnki
Plugin for Anki SRS designed to facilitate cooperation
CrowdAnki is a plugin for http://ankisrs.net/ that allows users to import and export decks/notes and all relevant information in a JSON format. The main purpose is to facilitate crowd-sourcing for Anki decks and notes. Starting with version 0.6 it also features a close integration with Git. Providing you with the ability to automatically maintain a history of edits for your decks. My goal here is to provide a user-friendly description of collaboration workflow. In order to do that, I looked through multiple GUI git clients. For our purposes here, I think GitHub Desktop is the best choice (as the most user-friendly client that works). There is one problem with GitHub Desktop, though - it doesn't have a Linux version. Which makes me particularly sad, as I use Linux as my main OS. -
8
Extract TOTP/HOTP secrets
Extract one time password (OTP) secrets from QR codes
The Python script extract_otp_secrets.py extracts one-time password (OTP) secrets from QR codes exported by two-factor authentication (2FA) apps such as "Google Authenticator". -
9
msgspec
A fast serialization and validation library, with builtin
msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
NeuroJSON
Scalable, searchable and verifiable neuroimaging data exchange platfor
-
11
ADFILT
Web filter lists for countless different topics
This is the place where I, Imre Kristoffer Eilertsen, host my web filter lists for countless different topics, for use in adblock tools and the like. GitHub was in mid-2017 by far the easiest way for laymen like me to store pure text files, which is a necessity to create subscribable lists. This is a hobby project of mine, in which I work just as much on these lists and this repo as I feel like. But don't be fooled by the appearance, as these are nevertheless some lists that I've placed lots of energy and effort into, for the enjoyment of all of us. -
12
Aurora Application Server is a new Python Web Application Server and Framework. The main goal of the project is to provide the developer with a complete set of tools to speed up the application development process. See project wiki for more information.
-
13
Awkward Array
Manipulate JSON-like data with NumPy-like idioms
Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms. Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they're not. -
14
Python library that handles and manages communication between client and blip.pl server via blip.pl API.
-
15
Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts. -
16
DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. Perfect for streaming and out-of-memory data. One-stop k-NN: Unified and consistent API for mainstream vector databases. -
17
HTTP functional and non-functional (load and performance) toolkit based on jython/grinder (http://grinder.sf.net) ...includes capabilities to support: SOA services, REST, json/xml encoding, AES and WS security ... and a stub to collect requests
-
18
JSON2YOLO
Convert JSON annotations into YOLO format.
Explore our state-of-the-art AI architecture to train and deploy your highly accurate AI models like a pro. This directory contains label import/export software developed by Ultralytics LLC, and is freely available for redistribution under the GPL-3.0 license. Ultralytics is a U.S.-based particle physics and AI startup with over 6 years of expertise supporting government, academic, and business clients. We offer a wide range of vision AI services, spanning from simple expert advice up to the delivery of fully customized, end-to-end production solutions. -
19
PersonGen
A minor Project in Python which uses the RandomUser API .
A Small Program in Python That Makes Use of RandomUser API To Generate Random Person Data. -
20
Pi alarm clock
Raspberry pi + adafruit cap tft + ada fruit case +python code
Raspberry pi adafruit capacitive touch tft ada fruit case for pi ldr +capacitor for background light level dfc77 receiver for time python code based on wiringpi2, pygame -
21
SPyQL
Query data on the command line with SQL-like SELECTs powered by Python
SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since SPyQL also writes to different formats, it allows to easily convert between data formats. -
22
Showtime
A Minor Project made in Python using OMDb API and Tkinter for Frontend
A Minor Project made in Python using Tkinter for frontend which fetches Data about Movies/TV-Series from an Online Database and uses the OMDB REST API and pyImdb to show Information about movies. Github : https://github.com/Cyborg117/Showtime -
23
Universal Data Exchange server is a barebone modular server.
-
24
comuni-json
Database JSON comuni italiani (2020) con informazioni ISTAT + CAP
Unofficial database of Italian municipalities, with ISTAT and postcode information. The list of municipalities is updated on 01/01/2020. Includes the new 2020 municipalities, with postcodes "updated" in December 2019. The postal codes of the new municipalities are temporary until Poste Italiane updates them. -
25
crossplane
Quick and reliable way to convert NGINX configurations into JSON
Reliable and fast NGINX configuration file parser and builder. Since crossplane is usually used to create payloads that are sent to different servers, it's important to keep security in mind. For that reason, the --ignore option was added. It can be used to keep certain sensitive directives out of the payload output entirely.
