pymempool 0.3.0

Python Api for mempool.space

pymempool

Python wrapper and terminal dashboard for the mempool.space API.

Installation

PyPI:

pip install pymempool

From source:

git clone https://github.com/holgern/pymempool.git
cd pymempool
python -m pip install -e .

Quick Start

from pymempool import MempoolAPI, RecommendedFees

mp = MempoolAPI()

fees = RecommendedFees(mp.get_recommended_fees_precise())
print(fees.as_dict())

mempool = mp.get_mempool()
print(mempool["count"], mempool["vsize"])

projected_blocks = mp.get_mempool_blocks_fee()
print(projected_blocks[0]["medianFee"])

Best First Commands

pymempool overview
pymempool pressure
pymempool ladder
pymempool watch

CLI Commands

# One-screen mempool dashboard
pymempool overview --precise-fees --blocks 6

# Fee pressure across human-readable bands
pymempool pressure

# Decision-first projected block ladder
pymempool ladder --limit 8

# Legacy ASCII mempool blocks view
pymempool mempool-blocks --limit 4

# Live mempool dashboard
pymempool watch --rbf fullRbf

# Stream raw websocket events
pymempool stream --want stats --want mempool-blocks

For command details:

pymempool --help
pymempool overview --help

API Highlights

from pymempool import MempoolAPI, MempoolWebSocketClient

mp = MempoolAPI()

rounded = mp.get_recommended_fees()
precise = mp.get_recommended_fees_precise()
recent = mp.get_mempool_recent()
audit = mp.get_block_audit_summary("<block_hash>")

client = MempoolWebSocketClient(want_data=["stats", "mempool-blocks"])
print(client.build_subscription_payloads())

Rate Limiting

pymempool now treats HTTP 429 Too Many Requests as back-pressure instead of a generic fast retry. The client:

• rate-limits itself before sending REST requests with conservative per-host defaults
• honors integer Retry-After headers when present
• applies exponential backoff with jitter when Retry-After is absent
• keeps cooldown state per host so failover stays resilient without turning into rate-limit evasion
• reuses short-lived cached snapshots for hot endpoints like fees, mempool summary, and projected blocks
• prefers WebSocket flows for live dashboards so watch and stream do not depend on tight REST polling

You can tune the policy via MempoolAPI(...):

from pymempool import MempoolAPI

mp = MempoolAPI(
    rate_limit_per_sec=1.0,
    rate_limit_burst=5,
    respect_retry_after=True,
    enable_response_cache=True,
    cache_ttl_seconds=3.0,
)

Development

Install dev and test dependencies:

uv pip install -r requirements.txt -r requirements-test.txt

Common checks:

pytest
pre-commit run --show-diff-on-failure --color=always --all-files
mypy pymempool
python docs/make.py

Documentation

• REST API reference: https://mempool.space/docs/api/rest
• Project docs: docs/

License

MIT