Search Results for "compiler python linux" - Page 2
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Showing 371 open source projects for "compiler python linux"
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Markdown package LaTeX
Package for converting and rendering markdown documents in TeX
The Markdown package converts CommonMark markup to TeX commands. The functionality is provided both as a Lua module, and as plain TeX, LaTeX, and ConTeXt macro packages that can be used to directly typeset TeX documents containing markdown markup. Unlike other convertors, the Markdown package does not require any external programs and makes it easy to redefine how each and every markdown element is rendered. Creative abuse of the markdown syntax is encouraged. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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Latte
The safest & truly intuitive templates for PHP
... on PHP, whereas Twig is based on Python. A designer in Latte doesn't have to constantly switch between two different conventions. Stay in touch. The plugin for Tracy informs you on each page which templates and which variables are being rendered. Latte has native support in NetBeans and an excellent plugin for PhpStorm that suggests tags, filters and PHP code. Latte is a next generation templating system – it understands HTML. -
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pywebview
Build GUI for your Python program with JavaScript, HTML, and CSS
... and QT or GTK on Linux. If you choose to freeze your application, pywebview does not bundle a heavy GUI toolkit or web renderer with it keeping the executable size small. pywebview is compatible with Python 3. -
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JC
CLI tool and python library
CLI tool and python library that converts the output of popular command-line tools and file types to JSON or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python dictionary... -
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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does... -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets. StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File... -
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OSCAL
Open Security Controls Assessment Language (OSCAL)
NIST is developing the Open Security Controls Assessment Language (OSCAL), a set of hierarchical, XML-, JSON-, and YAML-based formats that provide a standardized representation of information pertaining to the publication, implementation, and assessment of security controls. OSCAL is being developed through a collaborative approach with the public. Public contributions to this project are welcome. With this effort, we are stressing the agile development of a set of minimal formats that are... -
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latex2mathml
Pure Python library for LaTeX to MathML conversion
Pure Python library for LaTeX to MathML conversion. -
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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. -
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query-json
Faster, simpler and more portable implementation of `jq` in Reason
query-json is a faster, simpler, and more portable implementation of the jq language in Reason distributed as a dependency-free binary thanks to the OCaml compiler, and distributed to the web with js_of_ocaml. query-json allows you to write small programs to operate on top of json files with a concise syntax. Learn how to write a Programming Language with the OCaml stack using menhir and select with great error messages. -
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jsonschema
An implementation of the JSON Schema specification for Python
jsonschema is an implementation of the JSON Schema specification for Python. Full support for Draft 2020-12, Draft 2019-09, Draft 7, Draft 6, Draft 4 and Draft 3. Lazy validation that can iteratively report all validation errors. Programmatic querying of which properties or items failed validation. -
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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. -
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Connexion
Swagger/OpenAPI First framework for Python on top of Flask
Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees... -
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Academic File Converter
Import Bibtex publications and Jupyter Notebook posts into websites
Easily import publications and Jupyter notebooks to your Markdown-formatted website or book. -
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Remarshal
Convert between CBOR, JSON, MessagePack, TOML, and YAML
Convert between CBOR, JSON, MessagePack, TOML, and YAML. When installed, provides the command-line command remarshal as well as the short commands {cbor,json,msgpack,toml,yaml}2{cbor,json,msgpack,toml,yaml}. You can perform format conversion, reformatting, and error detection using these commands. CBOR, MessagePack, and YAML with binary fields cannot be converted to JSON or TOML. Binary fields are converted between CBOR, MessagePack, and YAML. -
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openvpn-monitor
openvpn-monitor is a web based OpenVPN monitor
openvpn-monitor is a simple Python program to generate HTML that displays the status of an OpenVPN server, including all current connections. It uses the OpenVPN management console. It typically runs on the same host as the OpenVPN server, however, it does not necessarily need to. OpenVPN-monitor is a web-based OpenVPN monitor, that shows current connection information, such as users, location, and data transferred. -
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zjuthesis
Zhejiang University Graduation Thesis LaTeX Template
LaTeX template suite designed for Zhejiang University graduation theses. It includes templates tailored for undergraduate, master’s, and doctoral students—including graduate‑level English templates—and aligns with Zhejiang University formatting guidelines. -
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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... -
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Great Expectations
Always know what to expect from your data
Great Expectations helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. Software developers have long known that testing and documentation are essential for managing complex codebases. Great Expectations brings the same confidence, integrity, and acceleration to data science and data engineering teams. Expectations are assertions for data. They are the workhorse abstraction in Great Expectations, covering all kinds of common data issues. Expectations... -
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CssSelector Component
Converts CSS selectors to XPath expressions
XPath expressions are incredibly flexible, so there is almost always an XPath expression that will find the element you need. Unfortunately, they can also become very complicated, and the learning curve is steep. Even common operations (such as finding an element with a particular class) can require long and unwieldy expressions. CSS selectors are less powerful than XPath, but far easier to write, read and understand. Since they are less powerful, almost all CSS selectors can be converted to... -
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CWhy
Explains and suggests fixes for compile-time errors for C, C++, C#, Go
Explains and suggests fixes for compiler error messages for a wide range of programming languages, including C, C++, C#, Go, Java, LaTeX, PHP, Python, Ruby, Rust, Swift, and TypeScript. CWhy needs to be connected to an OpenAI account or an Amazon Web Services account. Your account will need to have a positive balance for this to work (check your OpenAI balance). CWhy currently defaults to GPT-4, and falls back to GPT-3.5-turbo if a request error occurs. For the newest and best model (GPT-4... -
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Simplified LNCS Template
Improved Lecture Notes in Computer Science (LNCS) template
Improved Lecture Notes in Computer Science (LNCS) template. To build the whole document, execute the provided command. Note that this requires a working Perl installation. In case something goes wrong, you can instruct the LaTeX compiler to stop at the first error. Modern packages such as microtype, cleveref, csquotes, hyperref, hypcap, upquote, natbib, booktabs. (Optional) LaTeX compilation using the modern lualatex compiler. Ready-to-go configuration for latexindent. -
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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... -
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Kotlin multiplatform
Kotlin multiplatform / multi-format serialization
Kotlin serialization consists of a compiler plugin, that generates visitor code for serializable classes, a runtime library with core serialization API, and support libraries with various serialization formats. Using Kotlin Serialization requires Kotlin compiler 1.4.0 or higher. Make sure you have the corresponding Kotlin plugin installed in the IDE, no additional plugins for IDE are required.
