Every feature of the server, by category. Search a technology, a standard or a need, then open it to reach the functions and their live examples.
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One Java server that runs your scripts, serves your web applications and exposes your APIs.
An embedded web server, configured from one file.
Every script can become a documented web service.
Scripts and clients talk to the server through an encrypted port.
The internal database and the configuration of the server.
The home page of the server.
Control the server: configuration, activity, processes, locks, shutdown.
See and manage the connected sessions.
Measure the machine and the Java virtual machine.
Information on the operating system, and running a system command.
Global variables shared by the scripts of the server.
Named settings of the applications, public or private.
Numbering shared by the scripts.
Write and search the logs of the server.
Accounts, rights, encryption and protection of the server.
What protects the server, its accounts and its connections.
A user can be limited to running the scripts granted to them.
Create and manage the accounts.
Give access to the scripts through groups.
Log in with a directory, and search it, read only.
Sign and verify JSON Web Tokens.
Encrypt and sign files and messages for a partner or a bank.
Sign and verify PDF and XML documents.
Protect personal data before using it.
Scheduled and asynchronous work, followed and replayable.
Run work in the background, in parallel and at the right time.
Schedule scripts with cron expressions.
Asynchronous queue of scripts, with flow tracking and replay.
Start a script when a file arrives or changes.
Write, call and organize the MQL scripts.
Keep the history of the scripts.
Call the outside world, and build web applications.
Call any REST API, with retries, authentication and pagination.
Call SOAP web services, through a proxy if needed.
Read and build web addresses.
Read and search web pages.
Build the web applications served by MentDB.
Attach host names to the applications.
Generate the scripts that read and write a table.
Get a token for the Microsoft services.
Create a Stripe payment session.
Read and write your data, wherever it is.
Query and load relational databases, with bulk loading.
Named connections, kept apart from the scripts.
Work with MongoDB collections.
Cache and shared data, with a native client.
JSON documents stored inside MentDB.
Work on rows in memory, like SQL without a database.
Move and process files on every protocol.
Read, write and manage files and folders.
Transfer files by FTP.
Transfer files by FTP over TLS.
Transfer files over SSH.
Reach Windows shares.
Run commands and copy files on a remote machine.
Object storage, on AWS and on compatible services.
Create and extract archives.
Run MQL on another MentDB server.
Exchange messages, and watch the network.
Produce and consume Kafka messages.
Talk to machines and connected objects.
Queues between applications.
Send mails and read mailboxes.
Read and write archived mails.
Invitations and contacts that open everywhere.
Supervise hosts, ports and certificates.
Convert and produce every usual format.
Read and write CSV files, large ones included.
Mainframe-style files with fixed positions.
Read, change and convert JSON.
Read, validate and transform XML.
Convert YAML and JSON.
The column format of the analytics tools.
Old Excel files (.xls).
Excel files (.xlsx), with direct JSON conversion.
Replace text in old Word files.
Replace text in Word files.
Generate and read Word documents, convert Markdown.
Create, read, merge and fill PDF documents.
Prepare photos and images.
Create and read codes, and second-factor codes.
The standards of accounting, banks, trade and healthcare.
Electronic invoices.
Bank payment files.
Read bank statements and reconcile them.
The French accounting export.
Exchanges with large customers and logistics.
Messages of hospital systems.
REST services of healthcare.
Language models, bots and text analysis.
Use a language model in your flows.
Vectors, similarity and semantic search.
Build chat bots trained on your questions.
Understand large volumes of text.
Train, explain and use models, without leaving MQL.
Train, compare, explain and save models.
Prepare data for the models.
Measure the quality of a model.
Find groups and unusual values.
Forecast and analyze series.
Recommend items, and count on data streams.
Optimize and analyze graphs.
Find rules and patterns in transactions.
Clusters and decision nodes kept in memory.
Neural networks for classification.
Regressions kept in memory.
Understand the business, and trust the data.
Define rules and analyze the quality of your data.
Discover what a table contains.
See when the data changes.
Find the same customer written differently.
The usual questions of a business.
Measure and forecast marketing.
Rebuild and analyze your real processes from logs.
Statistical methods, many of them compared with R.
Descriptive statistics, tests and distributions.
Models for experiments and observational data.
Time until an event.
Bayesian estimates and tests.
Measure the real effect of an action.
Bootstrap, permutations and meta-analysis.
Compare methods and fit doses.
Estimates from surveys.
Plan and analyze experiments.
Industrial quality and laboratory validation.
Calibration models.
Decide with numbers: stock, staff, routes, risks.
Loans, investments and market risks.
Insurance calculations.
Stock and demand.
Size the teams and the counters.
Tours and workshops.
Networks and project schedules.
Optimize under constraints.
Reliability and yield.
Distances, areas and map formats.
A complete calculation library, also available in the calculator of the editor.
Everyday mathematics, in exact decimal when it counts.
Number theory.
Calculations with arbitrary precision.
Linear algebra.
Complex numbers.
Numerical methods.
Functions of physics and statistics.
Symbolic calculation.
Filter and analyze signals.
Draw curves and charts.
Physical constants.
Convert and calculate with units.
A language made for data flows, with thousands of ready functions.
How to write MQL.
The types of the variables and parameters.
Conditions and loops.
Comparison, logic and calculation.
Dates, durations and business days.
Everything on text.
Work on lists without loops.
Check a value.
Mathematical and physical constants as functions.
Applications in several languages.
Separated lists in a text.
Several servers working together.
Connect the MentDB servers.
Run and deploy across the servers.
A web application to run the server, ready to use.
See what happens now.
Control the automation.
Change the settings without editing files.
People, servers and web access.
Manage bots and models.
A starting point for your web applications.
The workbench of the MQL developer, on Windows, macOS and Linux.
Write and run MQL.
Let the editor write the repetitive scripts.
Read and export what the scripts return.
A scientific calculator inside the editor.
Move scripts between servers and watch them.
Install it on your servers, and keep it up to date.
Ready to run.
Update a server safely.
