| Name | wattleflow JSON |
| Version |
0.0.0.20
JSON |
| download |
| home_page | https://github.com/wattleflow/core.git |
| Summary | Wattleflow Core for Python |
| upload_time | 2025-07-12 03:04:29 |
| maintainer | None |
| docs_url | None |
| author | wattleFlow |
| requires_python | >=3.8 |
| license | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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|
| keywords |
wattleflow
framework
core
library
design
patterns
python
library
software engineering
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
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| coveralls test coverage |
No coveralls.
|
# WattleFlow Core
---
WattleFlow—graceful flow,
modular, scaled with purpose,
patterns guide the stream,
extensible, clear design,
built to last and grow.
---
# Characteristics
| Characteristic | Value |
| ------------------------ | ----------------------------------------------------------------------- |
| **Version** | v0.0.0.20 (latest stable release) |
| **License** | Apache 2.0 License |
| **Python Compatibility** | Python >=3.8 |
| **Dependencies** | None |
| **Size** | nimble |
| **Documentation** | [WattleFlow Core Documentation](https://github.com/wattleflow/docs.git) |
# WattleFlow Core Framework
A modular framework for Python, that facilitates design patterns as an architectural building blocks to enable efficient architecture.
## Core Concepts:
- Design Patterns
- Modular Architecture
- Scalability
- Code Maintainability
- Minimal Dependencies within the Python Ecosystem
## Design Principles
Following the guidelines from the book "Design Patterns: Elements of Reusable Object-Oriented Software" (commonly known as the "Gang of Four" or GoF), `Wattleflow` framework is based on the principles that have become the de facto standard in the software industry, particularly in:
- Object-Oriented Design (OOP)
- Development of Scalable Systems
- Enterprise Architecture
- Microservices and Distributed Systems
## Details
- **Design Patterns** - The framwork libraries follows proven software engineering principles based on the internationally recognised Gang of Four (GoF) design patterns. These patterns provide standardised, reusable solutions for common architectural and development challenges. Their adoption enhances code readability, promotes consistent system design, and ensures alignment with best practices in object-oriented development.
- **Modular Architecture** - The framework is following modular principles, where individual components (or interfaces) are developed, tested, and maintained independently. This enables flexibility, simplifies system evolution, and reduces the impact of changes on other parts of the solution design. Modular architecture also facilitates team collaboration by allowing parallel development across different functional units
- **Code Maintainability** - The system emphasises maintainable code, which reduces technical debt and simplifies ongoing development, testing, and debugging. Clean, well-structured, and documented code ensures long-term sustainability, making it easier for new team members to onboard and for existing teams to evolve the solution without introducing instability.
- **Scalability** - Wattleflow is specifically designed for Data-Flow and parallelism for scaling solutions both vertically and horizontally, ensuring that the system can efficiently handle increased workloads, higher data volumes, and a growing number of concurrent processes or users. Scalability is essential for maintaining system performance and reliability in high-demand environments, particularly in data-intensive or mission-critical operations. In the context of scalability, parallelism, and data processing pipelines, there are specific design patterns that are considered industry standards across domains such as:
- Big Data solutions (e.g., Hadoop, Spark utilise Data Pipeline and MapReduce patterns)
- ETL systems (Extract-Transform-Load patterns)
- Stream data processing (Reactive Streams, Event-Driven patterns)
- Asynchronous and concurrent programming (Actor Model, Futures, Producer-Consumer patterns)
- WattleFlow is built upon these exact principles, making it fully aligned with industry expectations and standards.
- **Minimal Dependencies within the Python Ecosystem** - The solution is intentionally designed with minimal external dependencies, relying primarily on stable, well-supported components within the Python ecosystem. This reduces complexity, simplifies deployment, and minimises security risks associated with third-party packages. At the same time, it ensures compatibility with common data engineering tools and frameworks.
The Security and sustainability principle of minimal dependencies reduces:
- The attack surface
- The risk of outdated or vulnerable dependencies
- The complexity of installation and deployment
# Installation
```bash
pip install wattleflow
```
# Usage examples
- [Wattleflow Workflow](https://github.com/wattleflow/workflow/)
# Dependencies
- none
# Documentation
When available, full documentation will be accessible at [WattleFlow](https://github.com/wattleflow/docs.git) documentation.
# License
WattleFlow Core is licensed under the Apache 2.0 License. See the LICENSE file for more details.
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"author_email": "wattleflow <wattleflow@outlook.com>",
"download_url": null,
"platform": null,
"description": "# WattleFlow Core\n\n\n---\nWattleFlow\u2014graceful flow,\nmodular, scaled with purpose,\npatterns guide the stream,\nextensible, clear design,\nbuilt to last and grow.\n\n---\n\n# Characteristics\n\n| Characteristic | Value |\n| ------------------------ | ----------------------------------------------------------------------- |\n| **Version** | v0.0.0.20 (latest stable release) |\n| **License** | Apache 2.0 License |\n| **Python Compatibility** | Python >=3.8 |\n| **Dependencies** | None |\n| **Size** | nimble |\n| **Documentation** | [WattleFlow Core Documentation](https://github.com/wattleflow/docs.git) |\n\n\n# WattleFlow Core Framework\nA modular framework for Python, that facilitates design patterns as an architectural building blocks to enable efficient architecture.\n\n## Core Concepts:\n- Design Patterns\n- Modular Architecture\n- Scalability\n- Code Maintainability\n- Minimal Dependencies within the Python Ecosystem\n\n## Design Principles\nFollowing the guidelines from the book \"Design Patterns: Elements of Reusable Object-Oriented Software\" (commonly known as the \"Gang of Four\" or GoF), `Wattleflow` framework is based on the principles that have become the de facto standard in the software industry, particularly in:\n- Object-Oriented Design (OOP)\n- Development of Scalable Systems\n- Enterprise Architecture\n- Microservices and Distributed Systems\n\n## Details\n- **Design Patterns** - The framwork libraries follows proven software engineering principles based on the internationally recognised Gang of Four (GoF) design patterns. These patterns provide standardised, reusable solutions for common architectural and development challenges. Their adoption enhances code readability, promotes consistent system design, and ensures alignment with best practices in object-oriented development.\n\n- **Modular Architecture** - The framework is following modular principles, where individual components (or interfaces) are developed, tested, and maintained independently. This enables flexibility, simplifies system evolution, and reduces the impact of changes on other parts of the solution design. Modular architecture also facilitates team collaboration by allowing parallel development across different functional units\n\n- **Code Maintainability** - The system emphasises maintainable code, which reduces technical debt and simplifies ongoing development, testing, and debugging. Clean, well-structured, and documented code ensures long-term sustainability, making it easier for new team members to onboard and for existing teams to evolve the solution without introducing instability.\n\n- **Scalability** - Wattleflow is specifically designed for Data-Flow and parallelism for scaling solutions both vertically and horizontally, ensuring that the system can efficiently handle increased workloads, higher data volumes, and a growing number of concurrent processes or users. Scalability is essential for maintaining system performance and reliability in high-demand environments, particularly in data-intensive or mission-critical operations. In the context of scalability, parallelism, and data processing pipelines, there are specific design patterns that are considered industry standards across domains such as:\n - Big Data solutions (e.g., Hadoop, Spark utilise Data Pipeline and MapReduce patterns)\n - ETL systems (Extract-Transform-Load patterns)\n - Stream data processing (Reactive Streams, Event-Driven patterns)\n - Asynchronous and concurrent programming (Actor Model, Futures, Producer-Consumer patterns)\n - WattleFlow is built upon these exact principles, making it fully aligned with industry expectations and standards.\n\n- **Minimal Dependencies within the Python Ecosystem** - The solution is intentionally designed with minimal external dependencies, relying primarily on stable, well-supported components within the Python ecosystem. This reduces complexity, simplifies deployment, and minimises security risks associated with third-party packages. At the same time, it ensures compatibility with common data engineering tools and frameworks.\nThe Security and sustainability principle of minimal dependencies reduces:\n - The attack surface\n - The risk of outdated or vulnerable dependencies\n - The complexity of installation and deployment\n\n\n# Installation\n```bash\n\npip install wattleflow\n```\n\n# Usage examples\n- [Wattleflow Workflow](https://github.com/wattleflow/workflow/)\n\n\n# Dependencies\n- none\n\n\n# Documentation\nWhen available, full documentation will be accessible at [WattleFlow](https://github.com/wattleflow/docs.git) documentation.\n\n\n# License\nWattleFlow Core is licensed under the Apache 2.0 License. See the LICENSE file for more details.\n",
"bugtrack_url": null,
"license": "Apache License\n Version 2.0, January 2004\n http://www.apache.org/licenses/\n \n TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n \n 1. Definitions.\n \n \"License\" shall mean the terms and conditions for use, reproduction,\n and distribution as defined by Sections 1 through 9 of this document.\n \n \"Licensor\" shall mean the copyright owner or entity authorized by\n the copyright owner that is granting the License.\n \n \"Legal Entity\" shall mean the union of the acting entity and all\n other entities that control, are controlled by, or are under common\n control with that entity. For the purposes of this definition,\n \"control\" means (i) the power, direct or indirect, to cause the\n direction or management of such entity, whether by contract or\n otherwise, or (ii) ownership of fifty percent (50%) or more of the\n outstanding shares, or (iii) beneficial ownership of such entity.\n \n \"You\" (or \"Your\") shall mean an individual or Legal Entity\n exercising permissions granted by this License.\n \n \"Source\" form shall mean the preferred form for making modifications,\n including but not limited to software source code, documentation\n source, and configuration files.\n \n \"Object\" form shall mean any form resulting from mechanical\n transformation or translation of a Source form, including but\n not limited to compiled object code, generated documentation,\n and conversions to other media types.\n \n \"Work\" shall mean the work of authorship, whether in Source or\n Object form, made available under the License, as indicated by a\n copyright notice that is included in or attached to the work\n (an example is provided in the Appendix below).\n \n \"Derivative Works\" shall mean any work, whether in Source or Object\n form, that is based on (or derived from) the Work and for which the\n editorial revisions, annotations, elaborations, or other modifications\n represent, as a whole, an original work of authorship. For the purposes\n of this License, Derivative Works shall not include works that remain\n separable from, or merely link (or bind by name) to the interfaces of,\n the Work and Derivative Works thereof.\n \n \"Contribution\" shall mean any work of authorship, including\n the original version of the Work and any modifications or additions\n to that Work or Derivative Works thereof, that is intentionally\n submitted to Licensor for inclusion in the Work by the copyright owner\n or by an individual or Legal Entity authorized to submit on behalf of\n the copyright owner. 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If You\n institute patent litigation against any entity (including a\n cross-claim or counterclaim in a lawsuit) alleging that the Work\n or a Contribution incorporated within the Work constitutes direct\n or contributory patent infringement, then any patent licenses\n granted to You under this License for that Work shall terminate\n as of the date such litigation is filed.\n \n 4. Redistribution. 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However, in accepting such obligations, You may act only\n on Your own behalf and on Your sole responsibility, not on behalf\n of any other Contributor, and only if You agree to indemnify,\n defend, and hold each Contributor harmless for any liability\n incurred by, or claims asserted against, such Contributor by reason\n of your accepting any such warranty or additional liability.\n \n END OF TERMS AND CONDITIONS\n \n APPENDIX: How to apply the Apache License to your work.\n \n To apply the Apache License to your work, attach the following\n boilerplate notice, with the fields enclosed by brackets \"[]\"\n replaced with your own identifying information. (Don't include\n the brackets!) The text should be enclosed in the appropriate\n comment syntax for the file format. We also recommend that a\n file or class name and description of purpose be included on the\n same \"printed page\" as the copyright notice for easier\n identification within third-party archives.\n \n Copyright [2024] [wattleflow.com.au]\n \n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n \n http://www.apache.org/licenses/LICENSE-2.0\n \n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n ",
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