doppler-dsp
Practical, portable, performant digital signal processing.
Decision gist · record as of 2026-08-14
Yes, if you need performant DSP primitives in Python with a proven C core. The active maintenance, MIT license, no known vulnerabilities, and single lightweight runtime dependency make it low-risk. Medium install friction is offset by pre-built wheels for modern Python versions. Best suited for signal processing, SDR, and scientific computing; less relevant for general-purpose applications.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; pre-built wheels available for Python 3.9–3.14 on macOS ARM64 and Linux x86_64/aarch64.
- Medium friction due to compiled wheels for multiple Python versions and architectures.
- Active maintenance with a release 7 days ago and recent commits.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-08-07 (7 days) · last repo commit 2026-08-14 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 73,729 downloads/mo, #14,940 on PyPI
Alternatives
Verify before relying
pip install doppler-dsp
from doppler.spectral import FFT
import numpy as np
x = np.random.randn(1024).astype(np.complex64)
X = FFT(1024).execute_cf32(x)- Whether the NATS streaming component (libdoppler_stream) is included in the PyPI wheel or requires separate installation.
- Performance characteristics on specific hardware platforms beyond the Ryzen 7 AI 350 example.
- Whether byte-identical CLI/Python/C parity is maintained across all algorithms or only specific ones.
What it is and what it does
Doppler is a C99 digital signal processing library wrapped for Python, implementing core DSP algorithms (FFT, FIR, NCO, polyphase resampling, DDC, AGC) with support for file, buffer, and NATS-based streaming. The Python layer is a thin type-conversion and lifetime-bridging wrapper around a single C implementation, so bugs are fixed once and performance reflects real hardware. It includes a scenario-driven waveform generator (wfmgen) with byte-identical behavior across CLI, Python, and C interfaces.
The package targets signal processing, software-defined radio (SDR), and scientific computing workflows where both performance and language flexibility matter. It depends only on numpy at runtime and provides pre-built wheels for Python 3.9–3.14 on macOS ARM64 and Linux x86_64/aarch64, reducing installation friction for common platforms.
Use it for
- Compute FFTs and apply FIR filters to complex signal streams in real-time DSP pipelines.
- Generate test waveforms (QPSK, etc.) with controlled SNR for signal processing validation.
- Build SDR applications combining NCO tuning, resampling, and DDC in a single library.
- Stream DSP results to NATS brokers for distributed signal monitoring and analysis.
- Prototype DSP algorithms in Python with the same performance and behavior as the C implementation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need performant DSP primitives in Python with a proven C core.
The active maintenance, MIT license, no known vulnerabilities, and single lightweight runtime dependency make it low-risk. Medium install friction is offset by pre-built wheels for modern Python versions. Best suited for signal processing, SDR, and scientific computing; less relevant for general-purpose applications.
Install
doppler-dsp on PyPI
Before you install
Medium friction due to compiled wheels for multiple Python versions and architectures. Active maintenance with a release 7 days ago and recent commits. Single runtime dependency on numpy.
Requires Python 3.9 or later; pre-built wheels available for Python 3.9–3.14 on macOS ARM64 and Linux x86_64/aarch64.
License in practice
MIT license is permissive; you may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install doppler-dsp
from doppler.spectral import FFT
import numpy as np
x = np.random.randn(1024).astype(np.complex64)
X = FFT(1024).execute_cf32(x)Verify before relying
- Whether the NATS streaming component (libdoppler_stream) is included in the PyPI wheel or requires separate installation.
- Performance characteristics on specific hardware platforms beyond the Ryzen 7 AI 350 example.
- Whether byte-identical CLI/Python/C parity is maintained across all algorithms or only specific ones.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagenumpy |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 73,729 / month, #14,940 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: CProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Software Development :: LibrariesTopic :: System :: Hardware :: Hardware Drivers |
Evidence: doppler_dsp-0.42.0-cp310-cp310-macosx_11_0_arm64.whl; doppler_dsp-0.42.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; doppler_dsp-0.42.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; doppler_dsp-0.42.0-cp311-cp311-macosx_11_0_arm64.whl; doppler_dsp-0.42.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; doppler_dsp-0.42.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; doppler_dsp-0.42.0-cp312-cp312-macosx_11_0_arm64.whl; doppler_dsp-0.42.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; doppler_dsp-0.42.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; doppler_dsp-0.42.0-cp313-cp313-macosx_11_0_arm64.whl; doppler_dsp-0.42.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; doppler_dsp-0.42.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; doppler_dsp-0.42.0-cp314-cp314-macosx_11_0_arm64.whl; doppler_dsp-0.42.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; doppler_dsp-0.42.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; doppler_dsp-0.42.0-cp39-cp39-macosx_11_0_arm64.whl; doppler_dsp-0.42.0-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; doppler_dsp-0.42.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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See also julius · soxr · doppler-sdk · doppler-env · obspy · dttlib · noisereduce · wfdb · nvidia-cufft-cu11 · nvidia-cufft-cu12