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meraki

Cisco Meraki Dashboard API library

Worth itPyPI WWW/HTTPReleased Aug 2026890.6K downloads / moMIT LicensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — meraki-4.4.0-py3-none-any.whl
v4.4.0 · released 2026-08-05 · Python >=3.11 · 1 runtime deps: httpx

Yes. The library is actively maintained (release 9 days ago), has no known vulnerabilities, low install friction, and solves a real operational problem—managing rate limits, retries, and pagination across a large API surface. Use it if you're building anything against the Meraki Dashboard API; the alternative is reimplementing all that logic yourself. The only gotcha is the Python 3.11+ requirement, which is firm.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later and a valid Meraki API key set as the MERAKI_DASHBOARD_API_KEY environment variable.
  • Low friction: single dependency (httpx), wheel distribution, actively maintained with a release 9 days ago.
  • Requires Python 3.11+, which is a hard floor but clearly stated.

License · maintenance · safety

MIT License (permissive) — MIT License (permissive) — you can use, modify, and distribute this library freely in commercial and open-source projects with minimal restrictions.

last release 2026-08-05 (9 days) · last repo commit 2026-08-14 · 350 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 890,568 downloads/mo, #4,805 on PyPI

Verify before relying

pip install meraki

import meraki

dashboard = meraki.DashboardAPI()
my_orgs = dashboard.organizations.getOrganizations()
  • Whether the library's automatic retry logic covers all transient failure modes in production use.
  • Performance characteristics of the smart-flow rate limiter under sustained high-concurrency workloads.
  • Compatibility guarantees between beta and stable releases when downgrading.
Same gist for agents: .md · .json

What it is and what it does

Meraki is a generated Python client for the Cisco Meraki Dashboard API that wraps every current API operation. Rather than building raw HTTP calls, retry loops, and pagination logic yourself for each of hundreds of endpoints, you import meraki, instantiate a client with your API key, and call methods like `dashboard.organizations.getOrganizations()`. The library stays current automatically because it's regenerated from Meraki's OpenAPI specification whenever the API ships new operations.

It handles the operational burden transparently: proactive rate limiting (smart flow) keeps you under Meraki's per-org and per-IP request limits before throttling occurs, automatic retries honor Retry-After headers and back off on transient failures, and built-in pagination lets you fetch all results with a single call. Both synchronous and asynchronous clients share the same interface, built on httpx for HTTP/2 support and type safety. Setup requires Python 3.11+, a Meraki API key, and one dependency (httpx).

Use it for

  • Bulk network configuration changes across multiple organizations without manual pagination or retry handling.
  • Real-time monitoring dashboards that pull device and client data while staying under rate limits automatically.
  • Async scripts that manage hundreds of networks concurrently without blocking on individual API calls.
  • Early-access testing of new Meraki API operations via beta releases before they reach general availability.
  • Dry-run simulations of network changes to preview impact before applying POST/PUT/DELETE operations.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The library is actively maintained (release 9 days ago), has no known vulnerabilities, low install friction, and solves a real operational problem—managing rate limits, retries, and pagination across a large API surface. Use it if you're building anything against the Meraki Dashboard API; the alternative is reimplementing all that logic yourself. The only gotcha is the Python 3.11+ requirement, which is firm.

Install

meraki on PyPI

Before you install

Low friction: single dependency (httpx), wheel distribution, actively maintained with a release 9 days ago. Requires Python 3.11+, which is a hard floor but clearly stated.

Requires Python 3.11 or later and a valid Meraki API key set as the MERAKI_DASHBOARD_API_KEY environment variable.

License in practice

MIT License (permissive) — you can use, modify, and distribute this library freely in commercial and open-source projects with minimal restrictions.

Quickstart

pip install meraki

import meraki

dashboard = meraki.DashboardAPI()
my_orgs = dashboard.organizations.getOrganizations()

Verify before relying

  • Whether the library's automatic retry logic covers all transient failure modes in production use.
  • Performance characteristics of the smart-flow rate limiter under sustained high-concurrency workloads.
  • Compatibility guarantees between beta and stable releases when downgrading.

Package facts

LicenseMIT License permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
httpx
MaintenanceActively maintained 9 days since the last release
Last repo commit
First released
Downloads890,568 / month, #4,805 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3

Evidence: meraki-4.4.0-py3-none-any.whl

Tags

Capabilities
cisco meraki api clientmeraki dashboard pythonnetwork management apimeraki rate limitingcisco network automationmeraki async http clientdashboard api wrapper
Topics
network-automationasync-httprate-limiting
PyPI keywords
ciscodashboardmeraki

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See also scc-firewall-manager-sdk · vapi-server-sdk · throttled-py · retryhttp · pipedream · veracode-api-py · webexteamssdk · asynciolimiter · webexpythonsdk · catalystwan