tomlplusplus
Header-only TOML config file parser and serializer for C++17. (by marzer)
coveragepy
The code coverage tool for Python (by nedbat)
Our great sponsors
tomlplusplus | coveragepy | |
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23 | 7 | |
1,400 | 2,831 | |
- | - | |
6.4 | 9.6 | |
about 1 month ago | about 1 hour ago | |
C++ | Python | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tomlplusplus
Posts with mentions or reviews of tomlplusplus.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-06.
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how to handle config files in c++?
Unless you want to make your own config file parser as an exercise (which is a good idea) I'd recommend using toml++.
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Cmake fetchContent not working in a docker container.
It's a public repo - this one: https://github.com/marzer/tomlplusplus but thank you
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Poxy - a Doxygen frontend - v0.9.0 released
For a live demo, see the toml++ homepage: https://marzer.github.io/tomlplusplus/
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Preferred way to read in application settings/config in C++
Added bonus, tomlplusplus is a solid C++ implementation, actively updated, and easy to drop into a project (header only, CMake, vcpkg, Conan, etc.). Very easy to use for what I've needed.
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toml++ v3.2.0 released
Key links: - Homepage: https://marzer.github.io/tomlplusplus/ - Repository: https://github.com/marzer/tomlplusplus - "What is TOML?": https://toml.io/
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CMake for toml not working
cmake_minimum_required(VERSION 3.23) project(testProj) set(CMAKE_CXX_STANDARD 23) set(FETCHCONTENT_BASE_DIR ${PROJECT_SOURCE_DIR}/${CMAKE_PROJECT_NAME}/libs CACHE PATH "Missing description." FORCE) include(FetchContent) FetchContent_Declare( tomlplusplus GIT_REPOSITORY https://github.com/marzer/tomlplusplus.git GIT_TAG v3.1.0 ) FetchContent_MakeAvailable(tomlplusplus) add_executable(testProj testProj/src/main.cpp) target_link_libraries(testProj tomlplusplus)
- toml++: Header-Only TOML Config File Parser And Serializer For C++
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What are some use cases of using shared_ptr in a single threaded program?
I use them in toml++ to store the path of the source document for all the data nodes parsed from that document. Storing it as a separate std::string allocation for every single object would have been very wasteful, and the alternative would have been to make an overall document class that owned everything, which I didn't want to do, so shared_ptr was a good compromise.
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toml++ v3.1.0 released
Key links: - Homepage: https://marzer.github.io/tomlplusplus/ - Repository: https://github.com/marzer/tomlplusplus - "What is TOML?": https://toml.io/
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What are some projects that taught you a lot?
toml++ was both my first 'public'/open-source project, and my first ever attempt at a parser. There's a few things I'd do differently now if I were to write it from scratch, but I've learned a lot along the way (particularly about making things build 'clean' on multiple platforms).
coveragepy
Posts with mentions or reviews of coveragepy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-14.
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An Introduction to Testing with Django for Python
Coverage.py is the go-to tool for measuring code coverage of Python programs. Once installed, you can use it with either unittest or pytest.
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The Uncreative Software Engineer's Compendium to Testing
Code Coverage Analysis assess the code portions tested by the current test suites without altering the code.
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Slipcover: Near Zero-Overhead Python Code Coverage
The PLASMA lab @ UMass Amherst (home of the Scalene profiler) has released a new version of Slipcover, a super fast code coverage tool for Python. It is by far the fastest code coverage tool: in our tests, its average slowdown is just 5% (compare to the widely used coverage.py, average slowdown 218%!). The latest release performs both line and branch coverage with virtually no overhead. Use it to dramatically speed up your tests and continuous integration!
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Unit Tests - what’s the point?
Tests ensure the tested behavior is maintained. It's up to the developers to write tests with sufficient coverage. Determining which lines of code on your project are covered by tests is easily quantifiable using tooling. E.g. https://coverage.readthedocs.io/
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How to make Django package smaller for Serverless deployment
Taking the idea further, if you build robust tests for your API, you could use a dynamic code analyzer like coverage or figleaf to identify and delete unused functions.
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Comparison of Python TOML parser libraries
coverage
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New Ways to Be Told That Your Python Code Is Bad
FWIW, ternary expressions aren't properly detected by coverage: https://github.com/nedbat/coveragepy/issues/509
What are some alternatives?
When comparing tomlplusplus and coveragepy you can also consider the following projects:
toml11 - TOML for Modern C++
global-chem - A Knowledge Graph of Common Chemical Names to their Molecular Definition
Magic Enum C++ - Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code
slipcover - Near Zero-Overhead Python Code Coverage
toml - Tom's Obvious, Minimal Language
Zappa - Serverless Python
toml - Python lib for TOML
pytomlpp - A python wrapper for tomlplusplus
json_test_data - Test data for nlohmann/json
flit - Simplified packaging of Python modules
cmkr - Modern build system based on CMake and TOML.