DocFetcher Reviews

1. Mark Wood

   · self · almost 6 years ago
   Pros, Cons

   I love DocFetcher! I discovered this gem of a program when Windows stopped supporting string searches in word processors other than Word.

   🏁 Competitors: the generic string search available in Windows, Agent Ransack, Locate32, Everything by Voidtools

   👍 Pros:    Beautiful intuitive interface. easy to use, once you set up the index.

   👎 Cons:    If you have a large collection of files to index, you will eventually be unable to search all your documents at the same time. you have to set up separate indexes and search each one separately. available in a variety of versions, up to 64 bit.|The help files are good. however, learning how to set up an index can be frustrating.

Scikit-learn Reviews

DocFetcher mentions (12)

• Tool to parse, index, and search local documents? - Windows

  I use https://docfetcher.sourceforge.net/en/index.html to index and search large repos of docs. I use Papermerge for my digital file cabinet though. DocFetcher is good for searching an existing repository of files. Source: over 3 years ago

• Docfetcher is a cross-platform free and open source desktop search application

  As they state, it is crap-free, free forever, cross-platform, portable, private (local only), and indexes only what you need. You can also set minimum and maximum file sizes to index. See https://docfetcher.sourceforge.net/en/index.html. Source: over 3 years ago

• Career Advice for a fresh graduate who wants to enter Structural Engineering field

  What I'd recommend is setting up a digital and/or physical technical library. Download any useful documents, books, standards etc. and store them in a clear, concise folder structure. Then create an index of the library with a tool like DocFetcher. (Think of it as Google for your technical library) This should make it fast and easy to find the relevant information when you need it. Source: over 3 years ago

• Looking for software to search inside zip files

  DocFetcher? https://docfetcher.sourceforge.net/en/index.html. Source: over 3 years ago

• How do you organize yourself?

  I use Outlook for e-mail and calendars. I use Evernote to store my notes. I also have a folder in Dropbox called "docs" where I store TXT (and others like DOCX and PDF etc) files for tasks/projects like the cisco firmware update example. I use DocFetcher (https://docfetcher.sourceforge.net/en/index.html) to perform search on the stored notes in TXT / DOCX / PDF / etc. Source: over 3 years ago

Scikit-learn mentions (40)

• Detecting Ingress Tool Transfer (T1105) with Python

  Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago

• Best AI Cybersecurity Training for Security Teams: How to Pick

  Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago

• Where to Get Hands-On AI Training for Cybersecurity Professionals

  Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago

• How Anomaly Detection Actually Works in Security Operations

  Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago

• Building a Personalized Meal Recommendation System

  In practice, you’ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago