Displaying 1 to 20 from 76 results

flask-restplus - Fully featured framework for fast, easy and documented API development with Flask

  •    Python

Flask-RESTPlus is an extension for Flask that adds support for quickly building REST APIs. Flask-RESTPlus encourages best practices with minimal setup. If you are familiar with Flask, Flask-RESTPlus should be easy to pick up. It provides a coherent collection of decorators and tools to describe your API and expose its documentation properly using Swagger. Flask-RestPlus requires Python 2.7 or 3.4+.

mimesis - Mimesis is a fast and easy to use library for Python, which helps generate synthetic data for a variety of purposes in a variety of languages

  •    Python

Mimesis is a fast and easy to use library for Python programming language, which helps generate synthetic data for a variety of purposes in a variety of languages. This data can be particularly useful during software development and testing. For example, it could be used to populate a testing database, create beautiful JSON and XML files, anonymize data taken from a production service, etc. You can find the complete documentation on the Read the Docs.

boltons - 🔩 Like builtins, but boltons

  •    Python

boltons should be builtins. Full and extensive docs are available on Read The Docs. See what's new by checking the CHANGELOG.




chinese-poetry - 最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。

  •    Python

最全的中华古典文集数据库, 包含5.5万首唐诗、26万首宋诗和2.1万首宋词. 唐宋两朝近1.4万古诗人, 和两宋时期1.5K词人. 数据来源于互联网. 为什么要做这个仓库? 古诗是中华民族乃至全世界的瑰宝, 我们应该传承下去, 虽然有古典文集, 但大多数人并没有拥有这些书籍. 从某种意义上来说, 这些庞大的文集离我们是有一定距离的。而电子版方便拷贝, 所以此开源数据库诞生了. 你可以用此数据做任何有益的事情, 甚至我也可以帮助你.

toapi - Every web site provides APIs.

  •    Python

Toapi give you the ability to make every web site provides APIs. Version v2.0.0, Completely rewrote.

UltraJSON - Ultra fast JSON decoder and encoder written in C with Python bindings

  •    C

UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 2.5+ and 3. For a more painless day to day C/C++ JSON decoder experience please checkout ujson4c, based on UltraJSON.


Mailin - Artisanal Inbound Emails for Every Web App

  •    Python

Mailin is an smtp server that listens for emails, parses them and posts them as json to the url of your choice. It checks the incoming emails dkim, spf, spam score (using spamassassin) and tells you in which language the email is written. Mailin can be used as a standalone application directly from the command line, or embedded inside a node application.

WiX.Py - Cross-platform JSON-driven MSI package builder

  •    Python

Cross-platform JSON-driven MSI package builder. Unlike a bunch of WiX/wixl wrappers (python-wix, go-msi, msi-packager etc.) WiX.Py is a standalone application. It uses libmsi on UNIX platforms and msi.dll on MS Windows. Application has been designed for build toolchains under Docker environment, i.e. it doesn't depend on windowing system or networking features. Thus it allows building MSI packages in CI services without dedicated MSW cloud instance. This one decreases project infrastructure cost and speed-ups builds.

kim - Kim: A JSON Serialization and Marshaling framework

  •    Python

Kim is a feature packed framework for handling even the most complex marshaling and serialization requirements. Learn all of Kim's features with these simple step-by-step instructions or check out the quickstart guide for a rapid overview to get going quickly.

yq - Command-line YAML and XML processor - jq wrapper for YAML/XML documents

  •    Python

Before using yq, you also have to install its dependency, jq. See the jq installation instructions for details and directions specific to your platform. Use the --width/-w argument to pass the line wrap width for string literals. All other command line arguments are forwarded to jq. yq forwards the exit code jq produced, unless there was an error in YAML parsing, in which case the exit code is 1. See the jq manual for more details on jq features and options.

remarshal - Convert between TOML, YAML and JSON

  •    Python

Convert between TOML, YAML and JSON. When installed provides the command line commands toml2yaml, toml2json, yaml2toml, yaml2json. json2toml and json2yaml for format conversion as well as toml2toml, yaml2yaml and json2json for reformatting and error detection. You will need Python 2.7 or Python 3.3 or later.

django-ajax - Fast and easy AJAX libraries for django applications

  •    Python

Fast and easy AJAX libraries for django applications. 2- Add 'django_ajax' into the INSTALLED_APPS list.

comuni-json - 🇮🇹 Database JSON comuni italiani (2019) con informazioni ISTAT + CAP aggiornati

  •    Python

Database non ufficiale dei comuni italiani, con informazioni ISTAT e CAP. Il file JSON con tutti i 7914 comuni è comuni.json.

datasette - An instant JSON API for your SQLite databases

  •    Python

Datasette provides an instant, read-only JSON API for any SQLite database. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers such as Zeit Now.Datasette requires Python 3.5 or higher.

libvirt-hook-qemu - Libvirt hook for setting up iptables port-forwarding rules when using NAT-ed networking

  •    Python

Libvirt hook for setting up iptables port-forwarding rules when using NAT-ed networking. This section describes the theory behind the generated iptables statements.

json-head - JSON microservice for performing HEAD requests

  •    Python

JSON microservice for performing HEAD requests

json2 - xml2 for JSON

  •    Python

There is a tool to convert XML files to intermediate format that allows editing and data extraction to be performed with simple (not XML-aware) tools, such as regular expressions-based grep or sed. It does not solve the general task of transforming XML files, but still allows text handling tools to go farther than in case of direct attempt to use them on XML. But xml2 is for XML, and somebody may want the similar tool for JSON.

NoDB - NoDB isn't a database.. but it sort of looks like one.

  •    Python

NoDB an incredibly simple, Pythonic object store based on Amazon's S3 static file storage. Initial load test with Goad of 10,000 requests (500 concurrent) with a write and subsequent read of the same index showed an average time of 400ms. This should be more than acceptable for many applications, even those which don't have sparse data, although that is preferred.