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MemBrowse

Track RAM and Flash usage on every commit. MemBrowse analyzes ELF binaries in CI, catches firmware size regressions early, and enforces memory budgets before the linker breaks.

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Overview

AI summary

MemBrowse is a tool designed to track RAM and Flash usage in firmware development, integrating with CI/CD pipelines to catch memory size regressions early and enforce memory budgets. It provides visual insights into memory trends, allowing developers to analyze ELF binaries and generate detailed memory reports.

Sources behind this listingSee source links, recorded dates and owner corrections.

Observed facts come from public pages. Founder-edited facts are supplied by the verified owner. AI-inferred facts are model interpretations; derived facts are calculated from other data. A source link lets you check the current page. It does not guarantee the fact is still current.

Dates show when a record was saved. Some older records use the listing’s update date; they are not proof of a fresh check. Missing source records are shown explicitly.

TaglineTrack RAM and Flash usage on every commit. MemBrowse analyzes ELF binaries in CI, catches firmware size regressions early, and enforces memory budgets before the linker breaks.
ObservedRecorded Source: membrowse.com
DescriptionTrack RAM and Flash usage on every commit. MemBrowse analyzes ELF binaries in CI, catches firmware size regressions early, and enforces memory budgets before the linker breaks.
ObservedRecorded Source: membrowse.com
Free planYes
ObservedRecorded Source: membrowse.com
Free trialYes
ObservedRecorded Source: membrowse.com
Pricing modelfreemium
AI-inferredRecorded Source: membrowse.com
IntegrationsGitHub, GitLab
ObservedRecorded Source: membrowse.com
Plan: Open SourceFree
AI-inferredRecorded Source: membrowse.com
Plan: Team$99/mo
AI-inferredRecorded Source: membrowse.com
Plan: Growth$249/mo
AI-inferredRecorded Source: membrowse.com
Plan: EnterpriseCustom
AI-inferredRecorded Source: membrowse.com
SummaryMemBrowse is a tool designed to track RAM and Flash usage in firmware development, integrating with CI/CD pipelines to catch memory size regressions early and enforce memory bud...
AI-inferredRecorded Source link unavailable

Pricing

Pricing recorded 1 October 2026Pricing page
Open Source
Free
tracked targets
unlimited
  • Public repositories only
  • Unlimited tracked targets
  • Hosted deployment
Team
$99/mo
Flat
tracked targets
10
  • Priority support
  • Hosted deployment
Growth
$249/mo
Flat
tracked targets
40
  • Priority support
  • Hosted deployment
Enterprise
Custom
  • Tailored for your organization
  • Dedicated support
  • On-prem deployment
Enterprise tierFree tier: Public repositories only, Unlimited tracked targets

Who Is It For

Best for

Firmware developers and embedded teams looking to optimize memory usage and prevent size-related issues during the development cycle.

–Not for

Teams not involved in firmware development or those who do not require detailed memory analysis for their projects.

Strengths & Weaknesses

Biggest strength

Continuous tracking of memory footprint on every commit, enabling early detection of size issues and facilitating collaboration on memory optimization.

Classification

Likely competitors
SonarQubeCoverityCodeSonar

Alternatives to MemBrowse

See all alternatives to MemBrowse

Community

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How we sourced this: Observed fields () were crawled from https://membrowse.com/ when recorded. Source links and dates are available above. AI-inferred fields () were generated by gpt-4o-mini and are always labelled, never presented as measured fact. Last updated: 8 October 2026. Site availability checked: 8 October 2026. Is this your tool? Claim it to edit and get a do-follow badge.