equinor/acidwatch
May 2025 – Oct 2025
6 Months active
Languages Used
CSSJavaScriptTypeScriptJSONPythonYAMLHTMLJinja
Technical Skills
Frontend DevelopmentReactReact RouterStyled ComponentsTypeScriptAPI Design
Zohar Malamant
PROFILE
Zohar Malamant
Zom contributed to the equinor/acidwatch repository by engineering a modular, scalable simulation platform for chemical modeling. Over six months, Zom delivered features such as asynchronous simulation execution, dynamic model configuration, and a multi-adapter architecture, refactoring both backend and frontend to support extensibility and robust user workflows. Using Python, FastAPI, and React, Zom implemented API security, model versioning, and unified unit handling, while also improving CI/CD pipelines and deployment automation. The work addressed reliability, usability, and developer enablement, with careful attention to validation, error handling, and configuration management, resulting in a maintainable codebase and streamlined onboarding for future contributors.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
39Total
Bugs
6
Commits
39
Features
19
Lines of code
14,055
Activity Months6
Your Network
89 people
Work History
October 2025
13 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for equinor/acidwatch focusing on delivering business value through scalable, reliable simulations and robust deployment practices. Key outcomes include asynchronous simulation execution with frontend polling and reliable status reporting, model versioning for governance and reproducibility, and backend architectural improvements with deployment automation.
13 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for equinor/acidwatch focusing on delivering business value through scalable, reliable simulations and robust deployment practices. Key outcomes include asynchronous simulation execution with frontend polling and reliable status reporting, model versioning for governance and reproducibility, and backend architectural improvements with deployment automation.
October 2025
September 2025
10 Commits • 7 Features
Sep 1, 2025In Sep 2025, the AcidWatch frontend delivered a set of user-focused improvements and reliability enhancements across the UI, data visualization, configuration, and API layers for equinor/acidwatch. Key business value includes improved mass balance visibility to diagnose model bugs, dynamic data exploration with data-driven results tabs, clearer model context with a dedicated description panel, and a centralized API/config approach that reduces maintenance overhead. The team also fixed a chemical formula parsing edge case, and added feedback channels to support user input, positioning the product for faster bug detection, better usability, and scalable growth.
September 2025
10 Commits • 7 Features
Sep 1, 2025In Sep 2025, the AcidWatch frontend delivered a set of user-focused improvements and reliability enhancements across the UI, data visualization, configuration, and API layers for equinor/acidwatch. Key business value includes improved mass balance visibility to diagnose model bugs, dynamic data exploration with data-driven results tabs, clearer model context with a dedicated description panel, and a centralized API/config approach that reduces maintenance overhead. The team also fixed a chemical formula parsing edge case, and added feedback channels to support user input, positioning the product for faster bug detection, better usability, and scalable growth.
August 2025
9 Commits • 5 Features
Aug 1, 2025August 2025 highlights for equinor/acidwatch focused on stabilizing model configurations, expanding configurability, and speeding developer enablement. Key features delivered include dynamic model list refresh on authentication, temperature unit support with unified unit handling, enum parameter support in the API, UI readability improvements, and a solid app architecture with a streamlined development environment. These changes collectively improve business value by ensuring accurate model availability post-login, enabling consistent temperature representations, offering richer configuration options, and reducing onboarding and integration friction for developers. Impact and rationale: - Users see up-to-date model configurations immediately after login/logout, reducing confusion and support tickets. - Cross-unit temperature handling prevents unit-related errors and simplifies UI workflows for operators and analysts. - Enum-driven configuration enhances expressiveness of model parameters with native UI selects. - API reliability improves with validation and clear error semantics (422 on invalid inputs), lowering backend defects. - Developer experience improved through a reintroduced SettingsProvider, simplified app structure, and devenv/Nix-based environment provisioning. Commit footprint (illustrative): 145f75b87cfb8cb6a387c3b631e1e9a18de2995f; 4fe5c5a61871408e48eb0cb1233d75aa3f51b64a; d89950e03d7a2209d80a5f931a391820b3099b32; c38b0ff5ee8090e4239c5c075a5544b637d3859e; 81c2d9d402db6ff1e291d2108437fd60ed3aea25; 6a6f0a73360389799c4f6f44a580888928820126; 09a7db1a35bed8f0f0fa3f99aca42672514bee18; 8789e8ea0f8e14a0b1673d42bddd09bb2c2a0664; 01efb027fb7aac98f116759fc08548f0d3a03f76.
9 Commits • 5 Features
Aug 1, 2025August 2025 highlights for equinor/acidwatch focused on stabilizing model configurations, expanding configurability, and speeding developer enablement. Key features delivered include dynamic model list refresh on authentication, temperature unit support with unified unit handling, enum parameter support in the API, UI readability improvements, and a solid app architecture with a streamlined development environment. These changes collectively improve business value by ensuring accurate model availability post-login, enabling consistent temperature representations, offering richer configuration options, and reducing onboarding and integration friction for developers. Impact and rationale: - Users see up-to-date model configurations immediately after login/logout, reducing confusion and support tickets. - Cross-unit temperature handling prevents unit-related errors and simplifies UI workflows for operators and analysts. - Enum-driven configuration enhances expressiveness of model parameters with native UI selects. - API reliability improves with validation and clear error semantics (422 on invalid inputs), lowering backend defects. - Developer experience improved through a reintroduced SettingsProvider, simplified app structure, and devenv/Nix-based environment provisioning. Commit footprint (illustrative): 145f75b87cfb8cb6a387c3b631e1e9a18de2995f; 4fe5c5a61871408e48eb0cb1233d75aa3f51b64a; d89950e03d7a2209d80a5f931a391820b3099b32; c38b0ff5ee8090e4239c5c075a5544b637d3859e; 81c2d9d402db6ff1e291d2108437fd60ed3aea25; 6a6f0a73360389799c4f6f44a580888928820126; 09a7db1a35bed8f0f0fa3f99aca42672514bee18; 8789e8ea0f8e14a0b1673d42bddd09bb2c2a0664; 01efb027fb7aac98f116759fc08548f0d3a03f76.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07. Focused on delivering a modular, adapter-friendly architecture for equinor/acidwatch, including a Modular Simulation Adapters and Model Input UI feature. Refactored backend and frontend to support multiple simulation adapters, removed legacy code, updated API endpoints, and introduced new components for model selection and input handling to enable flexible, modular chemical simulations. The work lays groundwork for scalable integration of future adapters and reduces technical debt.
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07. Focused on delivering a modular, adapter-friendly architecture for equinor/acidwatch, including a Modular Simulation Adapters and Model Input UI feature. Refactored backend and frontend to support multiple simulation adapters, removed legacy code, updated API endpoints, and introduced new components for model selection and input handling to enable flexible, modular chemical simulations. The work lays groundwork for scalable integration of future adapters and reduces technical debt.
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for equinor/acidwatch: Focused on building reliable deployment tooling and scalable multi-model integration. Delivered features include consolidated CI/CD tooling with type checking (backend) and code quality (frontend); introduced a Model Adapter System to support multiple chemical simulation models; improved API security and reliability via global CORS handling; fixed JSON parsing for InitFinalDiff to prevent validation errors. These efforts collectively improved deployment speed, reduced runtime errors, and set the stage for multi-model experiments.
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for equinor/acidwatch: Focused on building reliable deployment tooling and scalable multi-model integration. Delivered features include consolidated CI/CD tooling with type checking (backend) and code quality (frontend); introduced a Model Adapter System to support multiple chemical simulation models; improved API security and reliability via global CORS handling; fixed JSON parsing for InitFinalDiff to prevent validation errors. These efforts collectively improved deployment speed, reduced runtime errors, and set the stage for multi-model experiments.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for equinor/acidwatch: Delivered the Help and Resources Page, enhancing user support and accessibility via the top-bar. The page consolidates contact information and quick links to Slack, team homepage, and GitHub, enabling faster self-service and issue resolution. The work aligns with adoption and support goals and is expected to reduce time-to-help for users.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for equinor/acidwatch: Delivered the Help and Resources Page, enhancing user support and accessibility via the top-bar. The page consolidates contact information and quick links to Slack, team homepage, and GitHub, enabling faster self-service and issue resolution. The work aligns with adoption and support goals and is expected to reduce time-to-help for users.
Activity
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Quality Metrics
Correctness91.4%
Maintainability91.6%
Architecture89.6%
Performance84.6%
AI Usage21.6%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJSONJavaScriptJinjaNixPythonTypeScriptYAML
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAsynchronous ProgrammingAuthenticationBackend DevelopmentCI/CDCORSChemical Formula ParsingCode FormattingComponent DesignConfigurationConfiguration ManagementContainerizationContext API
Repositories Contributed To
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