Software Alternatives, Accelerators & Startups
Register | Login

CMake VS LinearB

Compare CMake VS LinearB and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

CMake logo CMake

CMake is an open-source, cross-platform family of tools designed to build, test and package software.

LinearB logo LinearB

LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
  • CMake Landing page
    Landing page //
    2022-09-21

We recommend LibHunt CMake for discovery and comparisons of trending CMake projects.

  • LinearB Landing page
    Landing page //
    2023-08-19

CMake features and specs

  • Cross-platform support
    CMake is designed to support multiple operating systems including Windows, macOS, and Linux. This allows developers to write platform-independent CMake scripts.
  • Build tool agnostic
    CMake can generate build files for a variety of build systems including Makefiles, Ninja, and Visual Studio solutions. This means developers are not tied to a specific build tool.
  • Large community and extensive documentation
    CMake has a large user base and an extensive amount of documentation and tutorials available which can be helpful for new and experienced users alike.
  • Integrated testing support
    CMake includes support for testing frameworks such as CTest, which allows for automated testing of code during the build process.
  • Modular and scalable
    CMake is highly modular, enabling users to create reusable and maintainable code by organizing CMake scripts into libraries and modules.

Possible disadvantages of CMake

  • Steep learning curve
    CMake's complexity and its extensive range of features can be difficult for beginners to grasp, leading to a steep learning curve.
  • Verbose syntax
    CMake scripts can often become verbose and difficult to read, especially for large projects. This can make maintenance and debugging challenging.
  • Inconsistent module quality
    The quality and support of different CMake modules can vary, sometimes leading to issues with compatibility or functionality.
  • Performance overhead
    CMake may introduce some performance overhead during the configuration process, especially for very large projects.
  • Complexity in advanced features
    Some of the more advanced features of CMake, such as custom commands and complex dependency management, can be quite difficult to implement correctly.

LinearB features and specs

  • Integration with Existing Tools
    LinearB integrates seamlessly with popular project management and communication tools like Jira, GitHub, Slack, and Bitbucket, making it easier to adopt without changing the existing workflow.
  • Real-time Metrics
    Provides real-time visibility into the software development lifecycle, allowing teams to gain insights and take immediate action to improve development processes.
  • Automated Analytics
    Automates the collection and analysis of data, reducing the manual effort required to gather metrics and allowing teams to focus on decision-making and improvements.
  • Workflow Optimization
    Offers features to identify bottlenecks and inefficiencies in the development process, enabling teams to streamline workflows and improve productivity.
  • Developer Metrics
    Includes metrics specifically for developers, such as code quality scores, pull request review times, and activity reports, to help individual contributors understand and enhance their performance.

Possible disadvantages of LinearB

  • Learning Curve
    Although the tool integrates well with other platforms, there is a learning curve associated with understanding and utilizing all of its features effectively.
  • Potential Overload of Metrics
    The extensive array of metrics and data presented can be overwhelming for teams not accustomed to such detailed analytics, potentially causing decision paralysis.
  • Cost
    The pricing structure might be expensive for small teams or startups, especially when compared to other simpler project management or analytics tools.
  • Dependency on Data Integration
    The effectiveness of LinearB largely depends on the quality and comprehensiveness of the data integrated from other tools. Inconsistent or incomplete data can hamper its utility.
  • Privacy Concerns
    Given the level of detail and access required, there might be concerns around data privacy and the handling of sensitive project information, especially in heavily regulated industries.

Analysis of CMake

Overall verdict

  • CMake is generally considered a good tool for managing the build process of software projects, especially those with a complex codebase that spans multiple platforms.

Why this product is good

  • Flexibility
    It offers great flexibility in terms of defining build processes, enabling advanced configuration and optimization techniques to be used.
  • Integration
    It integrates well with many popular IDEs and other tools, providing a smoother development experience.
  • Wide adoption
    CMake is widely used in the industry, which leads to robust community support and regular updates.
  • Cross platform support
    CMake is designed to support multiple platforms, which makes it highly valuable for projects that need to be compiled and run on different operating systems.

Recommended for

  • projects requiring cross-platform compatibility
  • developers looking for a powerful build configuration tool
  • complex software projects with numerous dependencies
  • teams that value strong community and industry support

Analysis of LinearB

Overall verdict

  • LinearB is generally considered a good tool for teams looking to improve their development workflows. It receives positive feedback for its ability to provide actionable insights and its user-friendly interface. However, as with any tool, its effectiveness can vary depending on the specific needs and context of the development team.

Why this product is good

  • LinearB is a tool that provides real-time insights into software development processes. It enhances productivity by offering metrics, workflow automation, and project visibility, which help in making data-driven decisions. The platform is designed to streamline development pipelines, ensuring teams can identify bottlenecks quickly and optimize their work processes.

Recommended for

    LinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.

CMake videos

+ Add

CMake for Dummies

More videos:

  • Review - CppCon 2017: Mathieu Ropert โ€œUsing Modern CMake Patterns to Enforce a Good Modular Designโ€
  • Review - Hunter, a CMake driven package manager for C/C++ projects - Daniel Friedrich - Lightning Talks

LinearB videos

No LinearB videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to CMake and LinearB)

CMake

LinearB

Front End Package Manager
100 100%
Front End Package Manager
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
JS Build Tools
100 100%
JS Build Tools
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using CMake and LinearB. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, CMake should be more popular than LinearB. It has been mentiond 55 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

CMake mentions (55)

  • How I deployed my first project for my devops portfolio: Project Architecture
    I used CMAKE as my compiling tool followed by make. - Source: dev.to / 12 months ago
  • DeadLock: Research Results & Tech Stack
    All this C++ project can't be ran as simple C++ code, so I will be building this whole package using CMake. It will streamline building this project onto other computers. - Source: dev.to / about 1 year ago
  • Master This Feature of DevEco Studio to Efficiently Implement ArkTS and C++ Glue Code
    For knowledge in this aspect, you can refer to the relevant documents of the CMake build tool: https://cmake.org/. - Source: dev.to / over 1 year ago
  • Creating a Native Desktop GUI Using C++ with GTK
    I used CMAKE to define the build configurations. I find it very convenient that CMAKE generates the Makefile on Linux and can also create a Visual Studio project on Windows. - Source: dev.to / over 1 year ago
  • Top 7 C++ Tools to explore in 2024 if it's not already the case.
    CMake stands for "Cross-platform Make" and is an open-source, platform-independent build system. It's designed to build, test, and package software projects written in C and C++, but it can also be used for other languages. Here's an overview of CMake and its features:. - Source: dev.to / over 2 years ago
View more

LinearB mentions (28)

  • The top 15 developer productivity tools in 2026
    LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One user reports saving 321 developer-hours per month. - Source: dev.to / about 2 months ago
  • Developer Productivity vs Developer Experience: Why You Can't Fix One Without the Other
    Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't developer-specific. DX (founded by DORA/SPACE research creators) combines developer surveys with SDLC analytics. These approaches require deliberate implementation and buy-in. - Source: dev.to / 6 months ago
  • ๐ŸฆŠ GitLab: A Python Script Calculating DORA Metrics
    LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
  • 6 Proven Strategies For Being A Great Platform Engineer
    In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / almost 3 years ago
  • How to consolidate metrics from across the entire organisation
    LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 3 years ago
View more

What are some alternatives?

When comparing CMake and LinearB, you can also consider the following products

GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

SCons - SCons is an Open Source software construction toolโ€”that is, a next-generation build tool.

Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.

SBT - SBT is a build tool for Scala, like Ant or Maven but with hieroglyphics.

GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

Loading...