Sectrio was launched as Subex Secure in the year 2016 to meet the growing needs of businesses in securing their Internet of Things and Operational Technology footprint on a single platform. To meet this objective, Subex invested in building the world’s largest adaptable honeypot network ground-up while simultaneously building an agile product with features aligned to the needs of our growing customer base.
Subex Secure was rebranded as Sectrio in September 2021 to reflect the arrival of the next phase of our product and innovation evolution.
Today, Sectrio has deployments across North America, the Middle East, APAC, and Indian markets. Our customer base is spread across verticals. Sectrio also is home to the largest number of cybersecurity domain specialists including industry’s leading threat research team.
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Based on our record, Jupyter seems to be more popular. It has been mentiond 206 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 21 days ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 1 month ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
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