erikdarlingdata

SQL Server execution plan analyzer β€” cross-platform CLI and desktop GUI

16
4
100% credibility
Found Mar 06, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C#
AI Summary

PerformanceStudio is a user-friendly app that visualizes SQL Server query execution plans, highlights performance issues like spills and bad estimates, suggests missing indexes, and helps capture and compare plans from files or live databases.

How It Works

1
πŸ“₯ Download the app

Grab the ready-to-run app for your computer from the releases page and unzip it to get started right away.

2
πŸ” Open your query plan

Drag a .sqlplan file from your slow query into the app or use the open button to load it instantly.

3
πŸ’‘ Spot the problems

Watch the colorful plan light up with warning badges, cost breakdowns, row counts, and instant tips on what's slowing things down.

4
πŸ”Œ Connect to your database

Enter your server details once to save them securely, then pick a database to work live.

5
Capture a fresh plan
πŸ“Š
Check top queries

Pull the busiest queries from Query Store to analyze what's using the most resources.

πŸ”„
Compare old and new

Load two plans side-by-side to see exactly what changed and which runs faster.

6
πŸ› οΈ Get fix-it advice

Click for plain-English reports, ready-to-run index suggestions, and robot-friendly data to share or automate.

πŸš€ Speed up your queries

Apply the tips to create missing indexes, rewrite slow parts, and watch your reports fly.

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AI-Generated Review

What is PerformanceStudio?

PerformanceStudio is a C# cross-platform CLI and desktop GUI analyzer for SQL Server execution plans, parsing .sqlplan XML files to spot performance issues like row estimate mismatches, TempDB spills, missing indexes, and parameter sniffing. Run `planview analyze myplan.sqlplan` for JSON or text reports with warnings, repro scripts, and CREATE INDEX suggestions, or use the GUI for SSMS-like visuals with Query Store integration and plan comparisons. It supports SQL Server 2022, Express, and previews of 2025, pulling top queries directly from Query Store.

Why is it gaining traction?

Unlike manual SSMS digging or sql server management studio downloads for basic views, it automates 30+ rules into severity-ranked warnings with ready-to-run fixes, plus batch CLI processing for sql github projects or practice repos. The MCP server hooks into tools like sql github copilot or Claude for AI-assisted tuning, and the SSMS extension sends plans with one right-click. Devs love the credential store and .env support for safe, repeatable analysis across Windows, macOS, and Linux.

Who should use this?

DBAs troubleshooting production slowdowns on SQL Server Express or 2022 instances, app devs debugging query regressions in CI/CD pipelines, and consultants building sql github portfolio pieces with before/after tuning demos. Ideal for sql github notes from interview questions or sql github pages showcasing optimized plans.

Verdict

Grab the self-contained binaries and start with CLI for fast winsβ€”solid docs, 37 passing tests, and MIT license make it production-ready despite 16 stars and 1.0% credibility score. Early maturity means watch for edge cases, but it's a smart sql github repo for any SQL tuner.

(198 words)

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