alive-progress vs tqdm
Side-by-side — pricing, strengths, tradeoffs, and fit.
alive-progress
A Python library for animated progress bars with real-time feedback.
tqdm
Fast, extensible progress bar for loops and CLI.
At a glance
Open SourceFree Tier
◌ Declining·From N/A
Open SourceFree Tier
● Established·From $0
Overview
One-liner
One-liner
A Python library for animated progress bars with real-time feedback.
One-liner
Fast, extensible progress bar for loops and CLI.
Maturity
Maturity
DecliningMaturity
EstablishedOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableFree tier
✓ AvailableOpen source — free to use
Starts at
Starts at
N/A
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Developers building CLI tools in PythonProvides enhanced user feedback with minimal setup.
Projects requiring real-time progress trackingOffers accurate throughput and ETA calculations.
✓ Best for
Developers who need real-time progress updates for long-running loops in their scripts.
Teams working on data processing tasks that require visual feedback to users.
Not ideal for
✕ Not for
Non-Python projectsThe library is specifically designed for Python environments.
Applications with no terminal accessRelies on terminal capabilities for displaying progress.
✕ Not for
Projects requiring complex, multi-threaded progress tracking beyond simple loop monitoring.
Applications where the overhead of a progress bar is not acceptable.
Strengths
↑ Strengths
Highly customizable animations
Real-time throughput and ETA
Multi-threaded support
↑ Strengths
Fast and extensible progress bar for loops.
Supports both Python scripts and command-line interfaces.
Provides real-time feedback on the progress of long-running processes.
Weaknesses
↓ Weaknesses
Limited to Python
Requires terminal support
Potential performance overhead
↓ Weaknesses
Limited language support
Complex setup in non-standard environments
Performance overhead for very small loops