Biopython

Biopython is a Python library for biological computation, providing tools for sequence analysis, structure parsing, phylogenetics, population genetics, and convenient wrappers for NCBI Entrez, BLAST, and other bioinformatics services.

Evaluated Mar 06, 2026 (0d ago) v1.84
Homepage ↗ Repo ↗ Other biopython bioinformatics python genomics sequence-analysis phylogenetics structural-biology ncbi
⚙ Agent Friendliness
60
/ 100
Can an agent use this?
🔒 Security
56
/ 100
Is it safe for agents?
⚡ Reliability
83
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
80
Error Messages
72
Auth Simplicity
98
Rate Limits
75

🔒 Security

TLS Enforcement
85
Auth Strength
40
Scope Granularity
10
Dep. Hygiene
82
Secret Handling
72

Local library — no network auth surface for core functionality. NCBI API key exposed as plain text attribute if set. TLS used for NCBI calls. Library dependencies (NumPy, etc.) have good hygiene. BSD-compatible open source license.

⚡ Reliability

Uptime/SLA
100
Version Stability
85
Breaking Changes
80
Error Recovery
68
AF Security Reliability

Best When

Building Python-based bioinformatics agents that need a comprehensive, well-tested library for sequence parsing, NCBI data access, and biological data manipulation without building custom parsers.

Avoid When

You need a hosted REST API (not a local library), high-performance C/Rust-level sequence processing, or cross-language support. Use specialized CLI tools for production genomics pipelines.

Use Cases

  • Sequence analysis agents parsing FASTA, GenBank, and FASTQ files and computing sequence statistics, alignments, and motifs
  • NCBI data retrieval pipelines using the Entrez module to fetch PubMed records, nucleotide sequences, and protein data
  • BLAST analysis agents submitting sequences for homology search and parsing structured result objects
  • Protein structure analysis workflows parsing PDB files and computing residue contacts, distances, and structural features
  • Phylogenetic analysis agents building and manipulating evolutionary trees from sequence alignments

Not For

  • High-performance genomics at scale — use specialized tools (samtools, GATK, BWA) for production NGS pipelines
  • Web API access as a service — Biopython is a local Python library, not a hosted API
  • Non-Python environments — library is Python-only; use bioconductor for R, biojava for Java

Interface

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

Authentication

Methods: none
OAuth: No Scopes: No

No authentication required for local library functionality. When accessing NCBI via Entrez module, an email address is required (Entrez.email) and an optional NCBI API key (Entrez.api_key) for higher rate limits.

Pricing

Model: free
Free tier: Yes
Requires CC: No

Free open source (Biopython License, BSD-compatible). No cost whatsoever. Install via pip: pip install biopython.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Entrez.email must be set before any NCBI API calls — missing email causes silent failures or blocks
  • Entrez module enforces NCBI rate limits — agents must add sleep() calls between requests without an API key
  • SeqRecord objects are mutable — agents must copy before modifying to avoid unexpected side effects
  • File format parsers are strict — malformed GenBank or PDB files can raise unexpected exceptions
  • BLAST via qblast() is slow and rate-limited — for production use, run local BLAST+ instead
  • Phylo tree objects have inconsistent mutability — some operations return new trees, others modify in place

Alternatives

Full Evaluation Report

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

$99

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

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Packages Evaluated
26151
Need Evaluation
173
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