A collection of tools for working with Snapdragon Profiler (SDP).
main: Primary development branch. Contributors should develop submissions based on this branch, and submit pull requests to this branch.
Convert SDP exported CSV trace files into Perfetto compatible JSON format for visualization and analysis. This converter supports CSV files exported from both SDP capture modes:
- Realtime Capture Mode — Streaming/live capture sessions where metrics are recorded continuously in real time
- Trace Capture Mode — Full trace sessions with detailed scheduling, slice, and counter data captured over a defined time window
| CSV Row Type | Perfetto Phase | Description |
|---|---|---|
| System counters | "ph": "C" |
System-level metrics (CPU frequency, GPU metrics, DSP metrics) |
| Process counters | "ph": "C" |
Per-process counter values (e.g., aaRdy, GPU Rendering Pipe Metrics) |
| Process slices | "ph": "X" |
Duration events with start/end timestamps |
| System scheduling slices | "ph": "X" |
Kernel scheduling events (e.g., Sched CPU) |
| Metadata | "ph": "M" |
Auto-generated process_name and thread_name labels |
Split GPU RenderStage events in a Perfetto .pftrace by process. The tool reads a Perfetto trace, extracts GpuRenderStageEvent packets, resolves each event to a process when possible, and writes an augmented .pftrace with separate RenderStage tracks per process for easier analysis in Perfetto UI.
The tool also includes a debug mode that scans the input trace and prints packet, process, track, and RenderStage diagnostics.
A zero-dependency C++ reverse WebSocket tunnel for connecting Snapdragon Profiler (SDP) to QDC-hosted Android and Qualcomm Linux (IoT) devices. Two small self-contained static binaries — no JRE, DEX bundle, or Gradle required on either side.
| Binary | Runs on | Role |
|---|---|---|
qdc-tunnel-target |
Android / Qualcomm Linux (aarch64) | WebSocket server + TCP multiplexer |
qdc-tunnel-host |
Windows / Linux host (x86-64 or ARM64) | WebSocket client + TCP forwarder |
Pre-built release packages (Windows ZIP and Linux tarball) are published to the GitHub Releases page on each v* tag.
# Build C++ binaries for this machine
uv run qdc-tunnel-build
# Run the host tunnel (after building)
uv run qdc-tunnel-host --remote-host 127.0.0.1 --port-map 8900:6500 --port-map 8902:6502
# Run the loopback smoke test
uv run qdc-tunnel-test
# One-click connection launcher (Windows)
tools\websocket-tunnel-QDC\connect-qdc-sdp-launcher.batSee tools/websocket-tunnel-QDC/README.md for the full connection guide and tools/websocket-tunnel-QDC/src/README.md for build details.
# Install uv (if not already installed)
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Sync the project (creates virtual environment and installs dependencies)
uv syncAll tools are accessible through the unified main.py entry point:
# Show available tools
uv run main.py --help
# Run a specific tool (e.g., converter)
uv run main.py converter <tool-specific arguments ...>
# Run the RenderStage splitter
uv run main.py split-renderstage <input.pftrace> <output.pftrace># Single file (output: trace1.json)
uv run main.py converter trace1.csv
# Single file with custom output name
uv run main.py converter trace1.csv -o custom_output.json
# Multiple files (each gets its own .json: trace1.json, trace2.json, trace3.json)
uv run main.py converter trace1.csv trace2.csv trace3.csv
# All CSV files in the current directory
uv run main.py converter *.csv
# Output to a specific directory
uv run main.py converter *.csv --output-dir ./output/You can also invoke the converter directly (bypassing the dispatcher):
uv run python -m tools.converter.convert_sdp_csv_to_perfetto_json trace1.csv# Split GPU RenderStage events into process-specific tracks
uv run main.py split-renderstage input.pftrace output.pftrace
# Inspect trace contents without writing an output file
uv run main.py split-renderstage --debug input.pftraceYou can also invoke the RenderStage splitter directly (bypassing the dispatcher):
uv run python -m tools.converter.split_renderstage_by_process input.pftrace output.pftrace
# Or use the uv-installed console script
uv run split-renderstage-by-process input.pftrace output.pftraceTo contribute new features or fixes, please see CONTRIBUTING.md for guidelines on branching, submitting pull requests, and coding standards.
# Clone the repository
git clone https://github.com/SnapdragonGameStudios/Snapdragon_Profiler_Ecosystem.git
cd Snapdragon_Profiler_Ecosystem
# Sync the project (creates virtual environment and installs dev dependencies)
uv syncThe project includes a comprehensive test suite using pytest.
# Run all tests
uv run pytest
# Run tests with verbose output
uv run pytest -v
# Run a specific test class
uv run pytest tests/test_convert_sdp_csv_to_perfetto_json.py::TestExampleCSV -vSnapdragon Profiler Ecosystem is licensed under the BSD-3-clause License. See LICENSE.txt for the full license text.