Automic VaultAutomic Vault

brew

Install memray with Homebrew, apk, dnf, Nix, pacman

Memory profiler for Python applications. Version 1.19.3 via Homebrew; verified 2026-06-22.

Install commandSecurity notes

install

Additional install commands

macOS

Homebrewverified · 100%
brew install memray

local Homebrew formula metadata

Linux

Alpine Linux apkverified · 92%
sudo apk add memray

Alpine Linux edge package indexes · memray · source: dl-cdn.alpinelinux.org

Fedora dnfverified · 92%
sudo dnf install memray

Fedora Rawhide package metadata · memray · source: dl.fedoraproject.org

Nixverified · 92%
nix profile install nixpkgs#memray

nixpkgs package indexes · pkgs/by-name/me/memray/package.nix · source: api.github.com

Arch Linux pacmanverified · 92%
sudo pacman -S memray

Arch Linux sync databases · memray · source: geo.mirror.pkgbuild.com

overview

Package summary

Memory profiler for Python applications

Commands and aliases

  • memray
  • memray3.14

history

Project history and usage

Memray is a Bloomberg Python memory profiler that tracks allocations in Python code, native extension modules, and the Python interpreter, then renders reports such as flame graphs, terminal summaries, tables, trees, live views, and stats.

Project history

Memray's README and documentation present it as a profiler for allocation tracing rather than sampling alone. It records function call stacks for allocations, can include native C/C++ frames, works with Python threads and native threads, and can be used both as a CLI and as a Python library.

The package entered public Python packaging with a 1.0.0 release on PyPI in April 2022. Its release stream continued through the 1.x line, with GitHub release notes and PyPI metadata showing active maintenance into 2026.

Adoption history

Memray is distributed through Python packaging and system package managers. The upstream README links PyPI, PyPI download statistics, conda-forge, GitHub Actions for wheels, and documentation; the batch input lists apk, Homebrew, Fedora, Nix, and Arch packages. The README also points to `pytest-memray`, which brought Memray into test-suite workflows as well as ad hoc command-line profiling.

How it is used

The common CLI workflow is `python3 -m memray run -o output.bin my_script.py`, followed by a reporter such as `python3 -m memray flamegraph output.bin`. Users can also run `memray run my_script.py`, use `memray run -m my_module`, enable native tracking with `--native`, attach to processes in supported scenarios, or use the API for finer-grained profiling.

Memray is limited to Linux and macOS. Because it includes a C extension and native tooling, source builds may require dependencies such as libdebuginfod, libunwind, and liblz4, while normal users are steered toward binary wheels from PyPI.

Why package nerds care

Memray is notable because Python memory profiling often crosses the Python/native boundary. Packaging it means shipping compiled extensions, platform-specific wheels, and native library integration while still exposing a friendly CLI. It is also a useful package-index signal because it bridges Python developers, C-extension debugging, flamegraph tooling, and pytest integration.

Timeline

  • 2022-04-09: memray 1.0.0 uploaded to PyPI.
  • 2022: README documents Linux and macOS support, PyPI installation, native allocation tracking, and multiple reporters.
  • 2026-04-08: v1.19.3 GitHub release published.

Related projects

  • Related projects include pytest-memray for test integration, PyPI and conda-forge as distribution channels, and native debugging/profiling dependencies such as libunwind, libdebuginfod, and liblz4.

security posture

Risk level: green

narrow executable package without higher-risk signals.

Risk classifier

green risk · low confidence · appliance

Why

  • narrow executable package without higher-risk signals

Signals

  • metadata:no-higher-risk-signals

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 2 runtime dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

executables

Installed executables

CommandKindExposureNote
memraycliglobal executable
memray3.14cliglobal executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-08
manager version1.19.3
manager updated2026-06-22
local dataok
upstreamnot checked
latest detectednot detected

https://bloomberg.github.io/memray/

install metadata

Package metadata

Package keybrew:memray
Version1.19.3
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/memray
Homepagehttps://bloomberg.github.io/memray/
Repositoryhttps://github.com/bloomberg/memray
Upstream docshttps://bloomberg.github.io/memray
LicenseApache-2.0
Source archivehttps://files.pythonhosted.org/packages/96/04/5b886a36df947599e0f37cd46e6e44e565299815f044e2303ab2ae9f8870/memray-1.19.3.tar.gz
Last updated2026-06-22T14:05:27-07:00
Pulseupdated
Dependencieslz4, python@3.14
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namememray
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

Nix95%

memray

nix profile install nixpkgs#memray
  • normalized package name match
  • Matched by: Memray
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/me/memray/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
apk95%

memray 1.19.1-r2

Memray is a memory profiler for Python

https://bloomberg.github.io/memray/

sudo apk add memray
  • License: Apache-2.0
  • Architecture: x86_64
  • Source Package: memray
  • 1 dependencies
  • 1 provides
  • normalized package name match
  • Matched by: Memray
Alpine Linux edge package indexes · dl-cdn.alpinelinux.org · Alpine Linux edge package indexes: memray from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
apk95%

memray-pyc 1.19.1-r2

Precompiled Python bytecode for memray

https://bloomberg.github.io/memray/

sudo apk add memray-pyc
  • License: Apache-2.0
  • Architecture: x86_64
  • Source Package: memray
  • 1 dependencies
  • normalized package name match
  • Matched by: Memray
Alpine Linux edge package indexes · dl-cdn.alpinelinux.org · Alpine Linux edge package indexes: memray-pyc from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
dnf95%

memray 1.13.4-7.fc44

Memory profiler for Python applications

https://bloomberg.github.io/memray/

sudo dnf install memray
  • License: Apache-2.0 AND BSD-3-Clause
  • Category: Unspecified
  • Architecture: x86_64
  • Source Package: python-memray
  • 2 dependencies
  • 1 provides
  • normalized package name match
  • Matched by: Memray
Fedora Rawhide package metadata · dl.fedoraproject.org · Fedora Rawhide package metadata: memray from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/e5ca8ce900cd68f5419e1c39ae517343100b306336cbaeb70a3c153121d95094-primary.xml.zst
pacman95%

memray 1.19.3-1

A memory profiler for Python

https://github.com/bloomberg/memray

sudo pacman -S memray
  • License: Apache-2.0
  • Architecture: x86_64
  • 7 dependencies
  • normalized package name match
  • Matched by: Memray
Arch Linux sync databases · geo.mirror.pkgbuild.com · Arch Linux sync databases: memray from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz

package graph

Links come from deterministic package relationships, av.db category and tag curation, ecosystem matches, and package hub membership.

Related tools

  • lz4Runtime dependency declared by Homebrew.
  • python@3.14Runtime dependency declared by Homebrew.

Same workflow

  • py-spyShares av.db curated category or tags: cli, developer-tools, performance, profiling, python.
  • cargo-flamegraphShares av.db curated category or tags: cli, developer-tools, performance, profiling.
  • cargo-instrumentsShares av.db curated category or tags: cli, debugging, developer-tools, profiling.
  • countsShares av.db curated category or tags: cli, developer-tools, performance, profiling.
  • flamebearerShares av.db curated category or tags: cli, developer-tools, performance, profiling.
  • flamegraphShares av.db curated category or tags: cli, developer-tools, performance, profiling.

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment