Software Alternatives, Accelerators & Startups

Steampipe VS GitHub Metrics

Compare Steampipe VS GitHub Metrics and see what are their differences

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.

Steampipe logo Steampipe

Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.

GitHub Metrics logo GitHub Metrics

Customize your profile with various plugins and metrics
  • Steampipe Landing page
    Landing page //
    2023-09-30
  • GitHub Metrics Landing page
    Landing page //
    2023-10-14

Steampipe features and specs

  • Unified Interface
    Steampipe provides a unified SQL-based interface to query data from various cloud services and APIs, simplifying data access.
  • Open Source
    Being open source, Steampipe allows for community contributions, transparency, and flexibility in adapting the tool to specific needs.
  • Plugin Ecosystem
    Steampipe has a growing ecosystem of plugins that enable easy integration with numerous services, enhancing its versatility.
  • Real-Time Data Access
    It facilitates real-time querying of data from live APIs, which is beneficial for up-to-date insights and monitoring.
  • Cross-Platform Compatibility
    Steampipe is designed to work on multiple platforms, including Windows, MacOS, and Linux, making it accessible to a wide range of users.

Possible disadvantages of Steampipe

  • Complex Setup
    Initial setup and configuration can be complex, requiring a good understanding of SQL and the specific APIs being used.
  • Performance Overhead
    Query performance may be impacted due to the abstraction layer and real-time consolidation of data from multiple sources.
  • Limited Community Support
    As a relatively new tool, Steampipe may have limited community support and fewer resources compared to more established alternatives.
  • Resource Intensive
    Running multiple queries against APIs and cloud services can become resource intensive, potentially increasing costs and load on systems.
  • Learning Curve
    Users unfamiliar with SQL may face a learning curve in effectively utilizing Steampipe for querying different data sources.

GitHub Metrics features and specs

  • Comprehensive Insights
    GitHub Metrics provides detailed insights into your GitHub activities, including contributions, languages used, and project statistics, enabling a deeper understanding of your coding habits and project progress.
  • Customizable Reports
    The tool offers extensive customization options for reports, allowing users to tailor the data they see according to their specific interests or needs.
  • Visual Representation
    By providing visually appealing charts and graphs, GitHub Metrics makes it easier to interpret complex data and share your GitHub activity highlights on social media or personal websites.
  • Automation
    It automates the generation of metrics, reducing the manual effort required to track and present GitHub activity insights.

Possible disadvantages of GitHub Metrics

  • Complex Setup
    Configuring GitHub Metrics can be complex for users who are not familiar with GitHub Actions or YAML formatting, potentially leading to initial setup delays.
  • Privacy Concerns
    As the tool fetches personal GitHub data, users need to consider privacy implications and decide which metrics they are comfortable sharing publicly.
  • Dependence on GitHub Actions
    Since the tool relies on GitHub Actions, any limitations or issues with GitHub Actions could impact the performance and reliability of GitHub Metrics.
  • Resource Usage
    The generation of metrics might consume GitHub Actions minutes and resources, which could be a concern for users on limited or free GitHub plans.

Steampipe videos

Superbooth 2023: Erica Synths - Steampipe

More videos:

  • Review - BEST SYNTHS @ SUPERBOOTH23: PWM Mantis, UDO Super Gemini, Erica Synths STEAMPIPE… and more
  • Review - Erica Synths STEAMPIPE The Synth with no oscillators!

GitHub Metrics videos

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

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Category Popularity

0-100% (relative to Steampipe and GitHub Metrics)
Big Data
100 100%
0% 0
Analytics
0 0%
100% 100
Cloud Infrastructure
100 100%
0% 0
Developer Tools
22 22%
78% 78

User comments

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Social recommendations and mentions

Based on our record, Steampipe should be more popular than GitHub Metrics. It has been mentiond 43 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.

Steampipe mentions (43)

  • Executable Is a SQLite Database
    Check out https://steampipe.io/, available as sqlite/postgtesql extensions. - Source: Hacker News / 12 days ago
  • Build API integrations with SQL and YAML – no SaaS lock-in, no drag-and-drop UIs
    The request / data fetching is interesting in how "easy" it is to write. I did basic perusal of the examples, but I'd be interested to see what it looks like with rate-limited endpoints and concurrent requests. Another tangentially related project is https://steampipe.io/ though it is for exposing APIs via Postgres tables and the clients are written using Go code and shared through a marketplace. - Source: Hacker News / over 1 year ago
  • Cyphernetes: A Query Language for Kubernetes
    I really really like Steampipe to do this kind of query: https://steampipe.io, which is essentially PostgreSQL (literally) to query many different kind of APIs, which means you have access to all PostgreSQL's SQL language can offer to request data. They have a Kubernetes plugin at https://hub.steampipe.io/plugins/turbot/kubernetes and there are a couple of things I really like: * it's super easy to request... - Source: Hacker News / over 1 year ago
  • DuckDB Doesn't Need Data to Be a Database
    Https://steampipe.io/ showcases some really interesting scenarios for using FDWs in place of regular ETL and API integrations. - Source: Hacker News / over 2 years ago
  • Cloud Tools You Probably Haven't Heard Of
    Steampipe is a tool for querying cloud APIs and other data sources using SQL in a zero-ETL manner. - Source: dev.to / over 2 years ago
View more

GitHub Metrics mentions (9)

  • Automate Your GitHub README with Custom SVG Metrics and GitHub Actions
    This tutorial shows you how to create a fully automated GitHub profile README using GitHub Metrics with custom SVGs and GitHub Actions. - Source: dev.to / over 1 year ago
  • 🚀 Create An Attractive GitHub Profile README 📝
    Metrics this will generate a detailed stats infographic based on your GitHub Profile. - Source: dev.to / about 2 years ago
  • GitHub profile of the day: Philippe Massicotte
    Another GitHub profile using lowlighter/metrics with a slightly different setup. - Source: dev.to / almost 3 years ago
  • Make your Github profile look good
    Using projects like this is an easy way to make your Github profile really standout. Source: over 3 years ago
  • Upgrade Your GitHub README.md 2.0
    Lowlighter/metrics is a GitHub repo you will fall in love with if you adore easy-to-use upgrading capabilities for your GitHub README.md through GitHub Actions. - Source: dev.to / over 4 years ago
View more

What are some alternatives?

When comparing Steampipe and GitHub Metrics, you can also consider the following products

CloudQuery - CloudQuery enables you to assess, audit, and evaluate the configurations of your cloud assets.

GitHub City - GitHub Ctiy uses ThreeJS to create a 3D city from your GitHub contributions.

StackQL.io - Query, provision, secure & operate cloud resources using SQL

CodersRank - The Ultimate Profile For Developers | Turn Your Code Into Your Digital Developer Profile & Get Hired Faster

Turbot - Turbot's guardrails deliver automated operational, cloud security and cloud compliance controls of AWS deployments and other cloud enterprise infrastructure. Learn more.

GitWrapped - View/Share how you contributed to Github over the years