You want to use the -newermt option for find:

find /media/WD/backup/osool/olddata/ -newermt 20120101 -not -newermt 20130101

to get all the files with modification time in 2012.

fd is a simple, fast and user-friendly alternative to
find.

While it does not seek to mirror all of find's powerful functionality, it provides sensible
(opinionated) defaults for 80% of the use cases.

Features

• Convenient syntax: fd PATTERN instead of find -iname '*PATTERN*'.
• Colorized terminal output (similar to ls).
• It's fast (see benchmarks below).
• Smart case: the search is case-insensitive by default. It switches to
  case-sensitive if the pattern contains an uppercase
  character*.
• Ignores hidden directories and files, by default.
• Ignores patterns from your .gitignore, by default.
• Regular expressions.
• Unicode-awareness.
• The command name is 50% shorter* than
  find :-).
• Parallel command execution with a syntax similar to GNU Parallel.

I like to use Makefiles. I like to use Makefiles in Java. I like to use Makefiles in Erlang. I like to use Makefiles in Elixir. And most recently, I like to use Makefiles in Ruby. I think you, too, would like to use Makefiles in your environment, and the engineering community would benefit if more of us used Makefiles, in general.

GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

These scripts are automatically generated from YAML files which can be found under specs/.

The format supports nested subcommands, specifying enums for possible parameters/option values and dynamic completion calling an external command.

The generation is done with the appspec tool (see "Developing" below).

Currently it supports bash and zsh completions.

fold is a filter which folds the contents of the specified files, or the standard input if no files are specified, breaking the lines to have a maximum of 80 display columns.

jq is like sed for JSON data - you can use it to slice and filter and map and transform structured data with the same ease that sed, awk, grep and friends let you play with text.

jq is written in portable C, and it has zero runtime dependencies. You can download a single binary, scp it to a far away machine of the same type, and expect it to work.

jq can mangle the data format that you have into the one that you want with very little effort, and the program to do so is often shorter and simpler than you’d expect.

VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility which can handle millions of rows with ease.

• Obtain data from websites, APIs, databases, and spreadsheets
• Perform scrub operations on text, CSV, HTML/XML, and JSON
• Explore data, compute descriptive statistics, and create visualizations
• Manage your data science workflow
• Create reusable command-line tools from one-liners and existing Python or R code
• Parallelize and distribute data-intensive pipelines
• Model data with dimensionality reduction, clustering, regression, and classification algorithms

This lightweight tool helps you get a sense of your application's schema, as well as any outliers to that schema. Particularly useful when you inherit a codebase with data dump and want to quickly learn how the data's structured. Also useful for finding rare keys.

$ mongo test --eval "var collection = 'users'" variety.js

+------------------------------------------------------------------+
| key                | types              | occurrences | percents |
| ------------------ | ------------       | ----------- | -------- |
| _id                | ObjectId           |           5 |    100.0 |
| name               | String             |           5 |    100.0 |
| bio                | String             |           3 |     60.0 |
| birthday           | Date               |           2 |     40.0 |
| pets               | Array(1),String(1) |           2 |     40.0 |
| someBinData        | BinData-old        |           1 |     20.0 |
| someWeirdLegacyKey | String             |           1 |     20.0 |
+------------------------------------------------------------------+

Infer a probabilistic schema for a MongoDB collection.
Usage

mongodb-schema can be used as a command line tool or programmatically in your application as a node module.

mongodb-schema mongodb://localhost:27017 db.collection

$ mongodump -d some_database -c some_collection
$ mongorestore -d some_other_db -c some_or_other_collection dump/some_collection.bson

HTTPie—aitch-tee-tee-pie—is a command line HTTP client with an intuitive UI, JSON support, syntax highlighting, wget-like downloads, plugins, and more.

HTTPie consists of a single http command designed for painless debugging and interaction with HTTP servers, RESTful APIs, and web services:

• Sensible defaults
• Expressive and intuitive command syntax
• Colorized and formatted terminal output
• Built-in JSON support
• Persistent sessions
• Forms and file uploads
• HTTPS, proxies, and authentication support
• Support for arbitrary request data and headers
• Wget-like downloads
• Extensions
• Linux, macOS, and Windows support