NumPy
NumPy is the foundational open-source Python library for scientific computing, providing N-dimensional arrays, vectorization, broadcasting, and mathematical functions. It serves global scientific researchers, data scientists, and machine learning practitioners as the de facto array-computing substrate for the Python ecosystem.
- Company typePrivate
- Founded2006
- HeadquartersAustin, United States
- Headcount1–10
- GTM typeB2C
- OfferingSoftware
What NumPy does
NumPy is the foundational open-source Python library for scientific computing, providing powerful N-dimensional array objects (ndarray), vectorization, indexing, broadcasting, random number generation, linear algebra routines, and Fourier transforms. Its core is implemented in optimized C code while maintaining a Python-accessible high-level syntax, delivering compiled-code performance with the productivity of an interpreted language. Distributed under a permissive BSD license and developed publicly on GitHub, NumPy is maintained by a distributed community of contributors with fiscal sponsorship and operational support from NumFOCUS, Inc., a U.S.-based nonprofit.
The library serves a global community of scientific researchers, data scientists, machine learning practitioners, and library developers. It functions as the de facto array-computing substrate for the Python scientific stack, forming the basis of nearly every major dependent library including scikit-learn, SciPy, TensorFlow, PyTorch, JAX, Dask, CuPy, Pandas, and scikit-image. Its ecosystem spans scientific domains such as quantum computing, astronomy, bioinformatics, geoscience, signal and image processing, and mathematical analysis, as well as machine learning, data science workflows, and hardware-accelerated computing on CPUs, GPUs, and TPUs.
NumPy has no commercial revenue model. It is freely distributed through Python package managers (pip, conda) and system package managers (Homebrew, APT, Chocolatey), and is funded through donations and corporate sponsorships managed by its fiscal sponsor, NumFOCUS. The project's commercial significance lies in its role as critical infrastructure beneath a multi-billion-dollar Python AI and data science ecosystem rather than in direct monetization.
NumPy firmographics
Firmographics- Name
- NumPy
- Legal name
- NumPy
- Website
- https://numpy.org
- Company type
- Private
- Founded year
- 2006
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- NumPy is the foundational open-source Python library for scientific computing, providing N-dimensional arrays, vectorization, broadcasting, and mathematical functions. It serves global scientific researchers, data scientists, and machine learning practitioners as the de facto array-computing substrate for the Python ecosystem.
- Ownership category
- akta.pro rank
Where NumPy is headquartered
LocationHeadquarters
- HQ city
- Austin
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
NumPy business model
Business model- GTM type
- B2C
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Infrastructure, Others
Revenue model
- Open Source Distribution: NumPy is freely distributed under a BSD license. The project is maintained publicly on GitHub by its community. Revenue is not generated directly from software sales; instead, the project is funded through donations and sponsorships managed by NumFOCUS, a nonprofit fiscal sponsor.
Go-to-market motion1 record
Distribution channels4 records
Marketing channels5 records
NumPy product offering
Product offeringCore offering
NumPy is the fundamental open-source Python library for scientific computing, providing N-dimensional array (ndarray) objects, vectorization, indexing, and broadcasting capabilities that are the de-facto standard for array computing today. It bundles comprehensive mathematical functions, random number generators, linear algebra routines, and Fourier transforms, with an optimized C code core that combines the speed of compiled code with the accessibility of Python syntax.
Product overview
NumPy is a single, unified open-source Python library for scientific computing. It provides the fundamental capabilities including powerful N-dimensional arrays (ndarray), vectorization, indexing, broadcasting, comprehensive mathematical functions, random number generators, linear algebra routines, and Fourier transforms. Distributed under a BSD license and developed publicly on GitHub by a community of contributors, NumPy is designed to be fast (via optimized C code core), versatile, interoperable with hardware and computing platforms including GPU and sparse array libraries, and accessible to programmers of all experience levels.
Differentiator
Problem solved
Functional benefit
Products and services
- NumPy Open-source Python library for scientific computing, providing N-dimensional array (ndarray) objects, vectorization, indexing, broadcasting, comprehensive mathematical functions, random number generators, linear algebra routines, and Fourier transforms. Built on an optimized C code core and distributed under a BSD license for use by individual developers, scientists, data scientists, ML practitioners, and library developers.
Companies that use NumPy
Customer profileSegments3 records
Ideal customer profiles3 records
NumPy technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature5 records
NumPy partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered core.
- NumFOCUScoreNumFOCUS is the fiscal sponsor of the NumPy project, providing organizational support, legal administration, and financial management. The nonprofit organization operates numpy.org and manages project funds.
- DaskcoreDistributed arrays and advanced parallelism for analytics, enabling NumPy-compatible performance at scale.
- CuPycoreNumPy-compatible array library for GPU-accelerated computing with Python.
- JAXcoreComposable transformations of NumPy programs: differentiate, vectorize, just-in-time compilation to GPU/TPU.
- PyTorchcoreDeep learning framework that leverages NumPy-like operations for research prototyping to production deployment.
- TensorFlowcoreEnd-to-end ML platform whose deep learning capabilities are built on NumPy-compatible foundations.
- scikit-learncoreMachine learning library that forms the basis of NumPy's ML ecosystem applications.
- SciPycoreScientific computing toolkit built on NumPy, providing additional mathematical algorithms and scientific functionality.
Scale indicators3 records
Recent moves4 records
Expansion highlights4 records
NumPy competitors and assessment
Company assessmentMarket position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks4 records
Key highlights6 records
Customer concentration
NumPy social profiles
Digital presenceNumPy financial estimates
Financial estimateRevenue estimate
Valuation estimate
NumPy leadership team
Management profileNumber of profiles
NumPy funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
NumPy M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about NumPy
What does NumPy do?
NumPy is the fundamental open-source Python library for scientific computing, providing N-dimensional array (ndarray) objects, vectorization, indexing, and broadcasting capabilities that are the de-facto standard for array computing today. It bundles comprehensive mathematical functions, random number generators, linear algebra routines, and Fourier transforms, with an optimized C code core that combines the speed of compiled code with the accessibility of Python syntax.
Is NumPy a public or private company?
NumPy is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was NumPy founded?
NumPy was founded in 2006. It employs 1 to 10 people.
Where is NumPy based?
NumPy is headquartered in Austin, United States, in the North America region.
How does NumPy make money?
One revenue line is on record: open Source Distribution.
Does NumPy have an API?
No public API is recorded for NumPy.