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| lattice (software) | |
|---|---|
| Name | lattice |
lattice (software) is a software system for data analysis, visualization, or configuration management that integrates numerical computation, graphical representation, and workflow orchestration. It provides tools for processing datasets, generating plots, and automating pipelines across scientific, industrial, and enterprise environments. The project aims to bridge research platforms and production services by offering interoperable components, extensible plugins, and bindings to established toolchains.
lattice presents a modular suite combining computation engines, rendering libraries, and connector modules for interoperability with Python (programming language), R (programming language), Julia (programming language), MATLAB, and Apache Hadoop. The system exposes APIs compatible with GitHub, GitLab, Docker, Kubernetes, and Apache Spark to support reproducible workflows and continuous integration with Travis CI, Jenkins, and CircleCI. Its visualization layer can export to formats used by Tableau, Power BI, D3.js, and Matplotlib while integrating with data stores such as PostgreSQL, MySQL, MongoDB, and Elasticsearch.
The project originated from academic efforts at institutions collaborating with labs linked to Massachusetts Institute of Technology, Stanford University, University of Cambridge, and ETH Zurich. Early contributors included researchers with affiliations to Lawrence Berkeley National Laboratory and European Organization for Nuclear Research. Development timelines show integration phases influenced by work from open-source communities around GNU Project, Apache Software Foundation, and Free Software Foundation. Funding and partnerships involved grants from agencies like National Science Foundation, European Research Council, and corporate contributions from IBM, Google, Microsoft, and Intel.
Core components include a computation kernel inspired by designs used in NumPy and SciPy, a rendering engine drawing on concepts from Vega and OpenGL, and a plugin system modeled after Eclipse (software). The architecture uses a microservices approach compatible with orchestration by Kubernetes and service mesh patterns from Istio. It supports data ingestion connectors for Kafka, RabbitMQ, AWS S3, Google Cloud Storage, and Azure Blob Storage. Authentication and identity management integrate with OAuth 2.0, OpenID Connect, and enterprise directories such as Active Directory and LDAP. Performance tuning borrows techniques from BLAS implementations, OpenMP parallelism, and CUDA acceleration for GPU-backed computations.
lattice runs on major Unix-like systems including Linux, FreeBSD, and macOS, and offers deployment containers for Docker and orchestration on Kubernetes clusters. Windows support is provided via native builds and compatibility layers such as Windows Subsystem for Linux and Cygwin. Interoperability targets enterprise stacks including Red Hat Enterprise Linux, SUSE Linux Enterprise, and cloud platforms like Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Binary distributions and package management integration exist for Debian, Ubuntu, Fedora, and Homebrew.
Adoption spans domains that include research computing at CERN, climate modeling groups collaborating with NOAA and NASA, bioinformatics labs tied to Broad Institute and European Molecular Biology Laboratory, and finance desks at institutions such as Goldman Sachs and JPMorgan Chase. Applied use cases cover exploratory data analysis for IPCC assessments, real-time monitoring integrations with Siemens industrial control systems, and visualization pipelines for museums and media organizations like BBC and The New York Times. Educational deployments have been reported at Harvard University, University of California, Berkeley, and Carnegie Mellon University.
The project is distributed under open-source licenses that align with contributions from communities like Apache Software Foundation and Linux Foundation; third-party modules may use permissive or copyleft terms similar to MIT License or GNU General Public License. Governance follows a meritocratic model with steering committees reminiscent of structures at Python Software Foundation and Mozilla Foundation. Contributions, issue tracking, and code reviews occur on platforms such as GitHub and GitLab, with community outreach through conferences like PyCon, Strata Data Conference, Open Source Summit, and workshops held at universities and research labs.
Security practices draw on standards from OWASP and NIST frameworks, implementing role-based access control and auditing compatible with SOC 2 and ISO/IEC 27001. Data handling features provide encryption at rest and in transit via TLS and integration with hardware security modules similar to those used by Yubico. Privacy compliance is addressed with controls to support regulations such as General Data Protection Regulation and California Consumer Privacy Act. The community publishes vulnerability disclosures coordinated with organizations like CVE Program and mitigation guidance aligned with advisories from US-CERT and security firms.
Category:Software