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git-sizer VS G8KEPR

Compare git-sizer VS G8KEPR and see what are their differences

git-sizer

Compute various size metrics for a Git repository, flagging those that might cause problems - github/git-sizer

Rating
0 reviews
Alternatives Is it good?
G8KEPR

Unified security for APIs, AI agents, MCP tools, and LLM applications. API Security + MCP Security + AI Gateway + Verification Engine. Starting at $399/mo.

Rating
0 reviews
Pricing
Freemium Free trial $399 / Monthly (API Security - MCP Security - AI Gateway - Verification Engine)
Alternatives Is it good?
Castmint
Type one line. Get a finished short. sponsored
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.

Which is more popular?

Based on our record, git-sizer seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
Git popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

git-sizer
G8KEPR
Website github.com g8kepr.com
Pricing —
Freemium Free trial $399 / Monthly (API Security - MCP Security - AI Gateway - Verification Engine) Official pricing
Platforms —
SaaS Cloud Self Hosted REST API Docker Kubernetes Linux +4
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Git Code Collaboration Git Tools
Cyber Security AI MCP API LLM Gateway API Gateway Security & Privacy Monitoring Tools Security API Tools +7

About git-sizer and G8KEPR

In their own words, as submitted to SaaSHub.

git-sizer
G8KEPR

No description of git-sizer yet.

A runtime security layer for AI apps — API, MCP, gateway, and model-output checks on one request plane, running inside your own VPC. Not a human at a keyboard — an AI agent running a multi-stage campaign: a recon probe, a fuzzing burst, a prompt injection, a poisoned tool. Each move rides below...

Read more about G8KEPR

Features and specs

What each product offers, as listed by its team.

git-sizer 5 features
G8KEPR 7 features
  • Comprehensive Repository Analysis
    git-sizer analyzes many different dimensions of a Git repository including commit count, tree size, blob size, history depth, and reference counts, providing a holistic view of repository health and potential scaling issues.
  • Easy to Use
    The tool is simple to run with minimal setup—just execute it within a git repository—and it produces clear, human-readable output that highlights potential problem areas without requiring complex configuration.
  • Identifies Performance Bottlenecks
    It helps identify specific issues that could degrade Git performance, such as excessively large blobs, deep history, large trees, or too many references, which is valuable before migrating or scaling repositories.
  • Open Source and Maintained by GitHub
    Being an official GitHub project, it benefits from credibility, community trust, and ongoing maintenance, and it is well documented with clear explanations of what each metric means.
  • Useful for Pre-Migration Checks
    It's particularly helpful for teams migrating repositories to new platforms or consolidating repos, as it flags potential issues that could cause problems during migration or with hosting providers' limits.

Possible disadvantages

  • No Automatic Remediation
    git-sizer only identifies and reports issues but does not offer any built-in tools or automated processes to fix problems like large blobs or excessive history depth—users must use separate tools like BFG Repo-Cleaner or git-filter-repo.
  • Output Can Be Overwhelming for Beginners
    While detailed, the output includes many metrics and threshold levels that may be confusing for users unfamiliar with Git internals, requiring some learning curve to fully interpret results.
  • Limited to Local Analysis
    The tool analyzes a local clone of the repository, so it requires users to have a full local copy of the repo (or at least enough history) to get accurate results, which can be time-consuming for very large repositories.
  • No Real-Time Monitoring
    It functions as a one-time analysis tool rather than providing continuous or real-time monitoring of repository health, requiring manual reruns to track changes over time.
  • Command-Line Only Interface
    The tool lacks a graphical user interface, which may be less accessible for users who prefer visual dashboards or are less comfortable with command-line tools.
  • API Security
    1,500+ threat signatures, OWASP Top 10 coverage, real-time anomaly detection
  • MCP Security
    Deterministic tool-poisoning & rug-pull detection (SHA-256), CVE replay
  • AI Gateway
    Inline LLM firewall across 14+ providers, prompt + response scanning
  • Deterministic detection
    Regex + classical ML, ~7ms, $0 per token, no LLM-as-judge
  • Verification Engine
    Output DLP — PII/secret redaction plus grounding/hallucination checks
  • Deployment
    Runs in your VPC — zero data egress, self-hostable
  • Frameworks
    Mapped to OWASP, MITRE ATT&CK, ATLAS, and EU AI Act

Analysis

An editorial look at what each product does well and who it suits.

git-sizer
G8KEPR

Overall verdict

  • git-sizer is a solid, focused open-source tool that effectively analyzes Git repositories to identify size and structural issues that could cause performance problems or hosting limits, making it a valuable diagnostic utility for repository maintenance.

Why this product is good

  • Quickly identifies large blobs, deep histories, and other repository bloat issues that impact performance
  • Simple command-line tool with no complex setup or dependencies required
  • Provides clear, actionable metrics about repository size and structure
  • Backed by GitHub, ensuring credibility and ongoing relevance to Git ecosystem needs
  • Helps proactively catch issues before they cause problems with hosting platforms or clone/fetch performance
  • Open source and actively maintained with community input

Recommended for

  • Repository administrators managing large or growing codebases
  • Teams migrating repositories to new hosting platforms with size limits
  • Developers troubleshooting slow clone, fetch, or checkout operations
  • DevOps engineers auditing repository health before major infrastructure changes
  • Organizations enforcing repository size policies or best practices
  • Anyone dealing with repositories that have accumulated large binary files or excessive history over time

No analysis of G8KEPR yet.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
git-sizer
G8KEPR
100% 100%
Git
0% 0%
0% 0%
API
100% 100%
100% 100%
Code Collaboration
0% 0%
0% 0%
AI
100% 100%

Questions & Answers

As answered by people managing git-sizer and G8KEPR.

What's the story behind your product?

G8KEPR's answer:

G8KEPR started from a simple observation: every AI security tool assumed you were fine sending your prompts to someone else's cloud to be inspected — and none of them covered the new attack surface that MCP and AI agents introduced.

So it was built the opposite way: deterministic detection that runs inside your own network, covering all four layers of the modern AI stack, with honest, reproducible benchmarks instead of marketing numbers.

What makes your product unique?

G8KEPR's answer:

Most AI security tools use an LLM to judge whether input is an attack — which is slow, costs per token, and is itself jailbreakable.

G8KEPR does the opposite:

  • Deterministic detection (regex + classical ML) — ~7ms, $0 per token, no LLM-as-judge
  • Runs in your own VPC — zero data egress, works air-gapped
  • Dedicated MCP security — deterministic tool-poisoning & rug-pull detection, with replay tests for real MCP CVEs (the part almost no one else covers)

Why should a person choose your product over its competitors?

G8KEPR's answer:

Four security layers in one platform — API Security, MCP Security, AI Gateway, and a Verification Engine — instead of stitching together separate vendors.

  • Legacy gateways (Kong, Apigee) were built before LLMs, agents, and MCP existed, and charge $20k+/yr for middleware
  • G8KEPR starts at $399/month with AI-native capabilities they don't offer
  • Detection is deterministic and reproducible — published benchmarks, including the weak spots
  • Nothing leaves your network

How would you describe the primary audience of your product?

G8KEPR's answer:

Engineering and security teams shipping AI applications to production — anyone running LLMs, AI agents, or MCP tools.

Especially:

  • Teams that can't send prompts to a third-party cloud for analysis (privacy, compliance, air-gapped)
  • Teams securing the agent tool-call layer (MCP), not just the API
  • Teams preparing for EU AI Act enforcement

Which are the primary technologies used for building your product?

G8KEPR's answer:

Frontend: Next.js, React, TypeScript, Tailwind CSS Backend: Python, FastAPI, PostgreSQL, Redis Detection: self-hosted classical ML (TF-IDF + logistic regression) and fine-tuned models — no hosted LLM in the detection path Billing: Stripe Deployment: Linux / nginx, containerized for VPC & self-hosted

Who are some of the biggest customers of your product?

G8KEPR's answer:

Newly launched — early access is open at g8kepr.com.

User comments

Share your experience with using git-sizer and G8KEPR. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

git-sizer 1 mention
G8KEPR 0 mentions
  • how to keep github repos small?
    Also there’s a cool project from GitHub you can use to help understand the size of git’s objects in your git repo https://github.com/github/git-sizer. This might help you determine what the best cloning strategy could be. Source: almost 5 years ago

Tracking G8KEPR since Jul 2026.

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