Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. - GitHub - multiprocessio/dsq: Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and ...
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Which is more popular?
Based on our record, DSQ
should be more popular than Deadpendency.
It has been mentioned 11 times since March 2021.
social mentions
11 vs 2
Application And Data popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Ease of Use DSQ provides a simple command-line interface that allows users to execute SQL queries on CSV and JSON files without requiring a database setup.
Lightweight As a command-line utility, DSQ is lightweight and doesn't require a server or additional infrastructure, making it easy to integrate into various workflows.
Versatility DSQ can handle multiple data formats, including CSV and JSON, allowing users to query different types of data using the familiar SQL syntax.
Open Source Being open source, DSQ allows users to contribute to its development, modify the source code for personal use, and ensure transparency in its functionality.
No Installation DSQ can be downloaded and used directly on the command line without a complex installation process, making it accessible for quick usage.
Possible disadvantages
Limited Functionality While useful for simple queries, DSQ lacks the advanced features and optimizations of full-fledged database systems, which might be necessary for complex data operations.
Resource Intensive for Large Files Processing large CSV or JSON files entirely in memory can become resource-intensive, potentially leading to performance issues on systems with limited RAM.
Lack of GUI DSQ operates solely from the command line, which might not be user-friendly for those who prefer graphical interfaces.
Single File Scope DSQ is designed for querying individual CSV or JSON files, which can be limiting for users looking to perform operations across multiple datasets.
Community Support As a niche tool, DSQ may not have as robust a community or support resources compared to more established database solutions.
Automated Dependency Monitoring Deadpendency automatically checks your project's dependencies for signs of being dead, unmaintained, or deprecated, saving developers from manually tracking the health of each dependency.
GitHub Integration Deadpendency integrates directly with GitHub as a GitHub App, making it easy to set up and run as part of your existing pull request and CI workflow without requiring additional infrastructure.
Early Warning System By catching dead or unmaintained dependencies early, Deadpendency helps teams avoid security risks and technical debt that come from relying on abandoned libraries.
Multi-Language Support Deadpendency supports a wide range of programming languages and package ecosystems, making it useful for polyglot projects and diverse development teams.
Low Configuration Overhead The tool is designed to work out of the box with minimal configuration, allowing teams to get value quickly without spending significant time on setup and customization.
Possible disadvantages
Limited to GitHub Deadpendency is primarily a GitHub App, which means teams using other platforms like GitLab or Bitbucket cannot easily use the service without switching or mirroring their repositories.
Potential False Positives The tool may flag dependencies as dead or unmaintained based on activity metrics, even when a library is stable and simply mature, leading to unnecessary concern or migration efforts.
Niche Use Case Dependency health checking is a relatively narrow function. Teams may prefer more comprehensive dependency management tools that also handle vulnerability scanning, license compliance, and version updates in one solution.
Reliance on External Signals Deadpendency relies on external signals like repository activity and release frequency to determine dependency health, which may not always accurately reflect the true maintenance status of a project.
Limited Community and Ecosystem As a relatively niche tool, Deadpendency has a smaller user community compared to alternatives like Dependabot or Renovate, which can mean fewer resources, community support, and third-party integrations.
Analysis
An editorial look at what each product does well and who it suits.
DSQDeadpendency
No analysis of DSQ yet.
Overall verdict
Deadpendency is a solid choice for teams needing automated dependency health monitoring, particularly for tracking deprecated, unmaintained, or archived packages that traditional vulnerability scanners often miss, integrating cleanly into CI workflows via GitHub Actions.
Why this product is good
Focuses specifically on dependency 'deadness' (deprecated, archived, unmaintained packages) rather than just security vulnerabilities, filling a gap left by tools like Dependabot
Simple integration as a GitHub Action, making it easy to add to existing CI/CD pipelines without heavy configuration
Provides clear, actionable reports that help developers proactively address technical debt before it becomes a security or maintenance liability
Supports multiple language ecosystems, offering broad applicability across different tech stacks
Lightweight and automated approach reduces manual auditing effort for dependency health
Recommended for
Development teams wanting to proactively manage technical debt in their dependency trees
Open source maintainers looking to keep their projects' dependencies healthy and current
Organizations using GitHub Actions for CI/CD who want an easy-to-integrate dependency health check
Security-conscious teams who want visibility into unmaintained packages that could pose future risks
Projects with many dependencies where manual tracking of deprecation status is impractical
Share your experience with using DSQ and Deadpendency.
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Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
DSQ11 mentionsDeadpendency2 mentions
Tracking SQLite Database Changes in Git
You might want to look at tsv-utils, or a similar project: https://github.com/eBay/tsv-utils (No longer maintained, but has links to lots of other projects).
- Source: Hacker News
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almost 3 years ago
SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions! As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2]. DataFusion is a very (very very)...
- Source: Hacker News
/
almost 4 years ago
Jq Internals: Backtracking
> dsq registers go-sqlite3-stdlib so you get access to numerous statistics, url, math, string, and regexp functions that aren't part of the SQLite base. (https://github.com/multiprocessio/dsq#standard-library) Ah, I wondered if they...
- Source: Hacker News
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about 4 years ago
Starship is the minimal, blazing fast, and extremely customizable prompt for any shell! Shows the information you need, while staying sleek and minimal. Quick installation available for Bash, Fish, ZSH, Ion, and Powershell.
Compare Starship (Shell Prompt) to DSQ or Deadpendency:
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Starship (Shell Prompt)
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