tqdm

Python progress bar library that wraps any iterable to display real-time progress, ETA, and throughput in terminals, Jupyter notebooks, or as a callback interface.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Developer Tools python library progress-bar cli jupyter async monitoring
⚙ Agent Friendliness
68
/ 100
Can an agent use this?
🔒 Security
92
/ 100
Is it safe for agents?
⚡ Reliability
87
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
89
Error Messages
82
Auth Simplicity
100
Rate Limits
100

🔒 Security

TLS Enforcement
95
Auth Strength
95
Scope Granularity
90
Dep. Hygiene
90
Secret Handling
90

No network layer; secure by default. No credential handling or external communication.

⚡ Reliability

Uptime/SLA
85
Version Stability
90
Breaking Changes
88
Error Recovery
84
AF Security Reliability

Best When

You want a zero-config, dependency-light way to add progress visibility to any Python iterable in terminal or notebook environments.

Avoid When

Your process runs in a non-interactive environment where stdout is captured or logged, as tqdm's terminal control characters will corrupt structured output.

Use Cases

  • Displaying progress of batch agent tasks over large datasets so operators can monitor throughput and estimated completion
  • Wrapping LLM API batch calls with progress tracking to surface stalls or rate-limiting slowdowns in real time
  • Tracking multi-step evaluation pipeline progress across evaluation suites with nested progress bars per stage
  • Providing operator visibility into long-running agent ingestion or indexing jobs without building custom monitoring
  • Integrating with Jupyter notebooks for interactive data processing pipelines where visual progress improves iteration speed

Not For

  • Production observability or metrics — tqdm output is ephemeral terminal display and does not emit structured metrics to monitoring systems
  • Distributed or multi-process workflows where progress from parallel workers needs to be aggregated — tqdm.contrib.concurrent exists but is limited
  • Logging pipelines where terminal output is captured or redirected — tqdm's carriage-return rendering breaks captured log output

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

Local Python library, no auth required

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

MIT / MPL 2.0 license

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Using tqdm in non-TTY environments (CI, captured stdout, subprocess pipes) produces garbled output — always check sys.stdout.isatty() or use disable=not sys.stdout.isatty()
  • Nested tqdm bars require position= parameter to be set explicitly or bars overwrite each other in the terminal
  • tqdm wraps iterables and consumes them — if the iterable raises an exception partway through, the progress bar may not close cleanly and leave terminal in bad state
  • tqdm.write() must be used instead of print() inside tqdm loops or print output will corrupt the progress bar rendering
  • For async generators, tqdm.asyncio.tqdm is required — wrapping async iterables with standard tqdm silently fails to display progress

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for tqdm.

$99

Scores are editorial opinions as of 2026-03-06.

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Packages Evaluated
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