Security News
tea.xyz Spam Plagues npm and RubyGems Package Registries
Tea.xyz, a crypto project aimed at rewarding open source contributions, is once again facing backlash due to an influx of spam packages flooding public package registries.
A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.
Readme
Essentials ➔
Health ➔
Quality ➔
Distribution ➔
Community ➔
sec-ai
is an open-source project designed to provide a comprehensive toolset for analyzing and interpreting data from SEC filings. Utilizing advanced AI technologies, this project aims to serve a wide range of users, from individual investors to researchers and regulatory bodies.
The project leverages alphanome-ai/sec-parser
for its data extraction needs, an essential component that simplifies the parsing of SEC EDGAR HTML documents into a structured and analyzable format.
Warning This project,
sec-ai
, is an independent, open-source initiative and has no affiliation, endorsement, or verification by the United States Securities and Exchange Commission (SEC). It utilizes public APIs and data provided by the SEC solely for research, informational, and educational objectives. This tool is not intended for financial advisement or as a substitute for professional investment advice or compliance with securities regulations. The creators and maintainers make no warranties, expressed or implied, about the accuracy, completeness, or reliability of the data and analyses presented. Use this software at your own risk. For accurate and comprehensive financial analysis, consult with qualified financial professionals and comply with all relevant legal requirements. The project maintainers and contributors are not liable for any financial or legal consequences arising from the use of this tool.
To get started, first install the sec-ai
package:
pip install sec-ai
Next, please visit the Demo and explore the corresponding source code to understand how to utilize the package effectively.
To ensure your code remains functional even when we change the internal structure of sec-ai
, it's recommended to avoid deep imports. Here is an example of a deep import:
from sec_ai.something_package.internal_utils.core import SomeInternalClass
Here are the suggested ways to import modules from sec-ai
:
import sec_ai as sp
. This imports the main package as sp
. You can then access its functionalities using sp.
prefix.from sec_ai import SomeClass
: This allows you to directly use SomeClass
without any prefix.import sec_ai.something_package**
: This imports the something_package
submodule, and you can access its classes and functions using something_package.
prefix.from sec_ai.something_package import SomeClass
: This imports a specific class SomeClass
from the something_package
submodule.Note The main package
sec_ai
contains only the most common functionalities. For specialized tasks, please use submodule or submodule-level imports.
For information about setting up the development environment, coding standards, and contribution workflows, please refer to our CONTRIBUTING.md guide.
This project is licensed under the MIT License - see the LICENSE file for details.
FAQs
A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.
We found that sec-ai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Tea.xyz, a crypto project aimed at rewarding open source contributions, is once again facing backlash due to an influx of spam packages flooding public package registries.
Security News
As cyber threats become more autonomous, AI-powered defenses are crucial for businesses to stay ahead of attackers who can exploit software vulnerabilities at scale.
Security News
UnitedHealth Group disclosed that the ransomware attack on Change Healthcare compromised protected health information for millions in the U.S., with estimated costs to the company expected to reach $1 billion.