fasttlogparser 1.1.1

Blazing-Fast MAVLink .tlog Parser

⚡ fasttlogparser - Blazing-Fast MAVLink .tlog Parser

Unlock lightning-fast MAVLink telemetry parsing with this Python package powered by optimized C++ backend. Extract insights from .tlog files at unparalleled speeds!

import fasttlogparser

# Parse entire file
messages, msg_ids = fasttlogparser.parseTLog("flight.tlog")

# Advanced: Filter messages + remap fields
results = fasttlogparser.parseTLog(
    path = "mission.tlog",
    ids = [(1,1)],                              # Specific MAVLink IDs
    whitelist = ["GPS_RAW_INT", "ATTITUDE"],    # Keep only these messages
    blacklist = ["AUTOPILOT_VERSION"],          # Exclude these messages
    remap_field = {"alt": "altitude"}           # Rename fields
)

✨ Key Features

• Native C++ acceleration - ~100x faster than pure Python parser
• Smart filtering - by system_id/componet_id or message name whitelist/blacklist
• Field remapping - customize output schema
• Zero dependencies - lightweight Python bindings via pybind11

⚙️ Installation

pip install fasttlogparser --no-build-isolation

🔧 Advanced Usage

Filter messages using MAVLink IDs:

# Get only GPS_RAW_INT and ATTITUDE messages
messages = fasttlogparser.parseTLog("data.tlog", whitelist=["GPS_RAW_INT", "ATTITUDE"])

Filter messages using system and component IDs:

# Keep only (2,1) - (sysId, cmpId)
results = fasttlogparser.parseTLog("long_flight.tlog", ids = [(2,1)])

Rename individual message fields:

results = fasttlogparser.parseTLog("long_flight.tlog", remap_field = {"alt": "altitude"})

⚡ Benchmark

Processing a 252MB .tlog file:

• Pure Python parser: 24m 56s ⏳
• fasttlogparser: 16.6s ⚡ (90x faster!)

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Ready for high-performance telemetry MAVLink analysis?