Software Alternatives & Reviews

LinearB VS MyGet

Compare LinearB VS MyGet and see what are their differences

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.

MyGet logo MyGet

MyGet allows you to create and host your own NuGet feed.
  • LinearB Landing page
    Landing page //
    2023-08-19
  • MyGet Landing page
    Landing page //
    2022-10-17

LinearB videos

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MyGet videos

MyGet Webinar

More videos:

  • Review - Xavier Decoster and Maarten Belliauw - MyGet
  • Review - Myget is FUN

Category Popularity

0-100% (relative to LinearB and MyGet)
Data Dashboard
100 100%
0% 0
Code Coverage
62 62%
38% 38
Predictive Analytics
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare LinearB and MyGet

LinearB Reviews

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MyGet Reviews

Repository Management Tools
With that discussed, let us now take a look at the difference that is observed between MyGet and NuGet. With MyGet, there is a possibility to set up the feed less than 5 seconds and all this can be done without even setting up any of our own infrastructures. There is only one feed per account in NuGet whereas with MyGet you can have multiple feeds per account. It also allows...
Source: mindmajix.com

Social recommendations and mentions

Based on our record, LinearB seems to be a lot more popular than MyGet. While we know about 26 links to LinearB, we've tracked only 1 mention of MyGet. 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.

LinearB mentions (26)

  • 🦊 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 / 2 months 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 / 9 months 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: 11 months ago
  • Measure Performance and Engagement Meaningfully
    You can also try these alternatives - LinearB, Jellyfish. Source: 12 months ago
  • 'Software Engineering Dashboards: Types, Risks, and Future' by Margaret-Anne Storey & Christoph Treude
    Some recommended dashboard tools that you can try: Jellyfish, Typo, LinearB. Source: 12 months ago
View more

MyGet mentions (1)

What are some alternatives?

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

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

JFrog Xray - JFrog Xray is a universal software composition analysis (SCA) solution that natively integrates with Artifactory

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.

DeployHub - DeployHub® is a free, agentless & hosted microservice platform to catalog, publish, version & deploy reusable components.

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.

HCL Launch - HCL Launch is continuous automation software that allows you to handle most of the complicated deployment scenarios.