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textK4

textK4 is a data serialization language designed for human-readable configuration and data interchange. It aims to combine the clarity of plain text with structured expressivity, providing an approachable alternative to more complex formats. The language emphasizes predictable parsing, small runtime requirements, and broad portability across programming languages and platforms.

Origin and design: textK4 was developed by the K4 Initiative, a collaborative effort among open-source developers

Data model and syntax: textK4 represents data as hierarchical structures using indentation to denote nesting. Mappings

Parsers and implementations: Several language implementations exist, prioritizing deterministic parsing and low memory usage. textK4 parsers

Usage and reception: textK4 is used in configuration management, documentation, and lightweight data exchange in various

See also: YAML, JSON, TOML, XML. References: Official textK4 specification and implementation repositories.

and
researchers.
The
initial
specification
appeared
in
the
mid-2010s,
with
subsequent
revisions
that
refined
syntax
rules,
clarified
edge
cases,
and
expanded
library
support.
The
project
positions
textK4
as
a
practical,
readable
option
for
both
configuration
files
and
lightweight
data
payloads.
use
key:
value
pairs,
while
sequences
employ
leading
dashes.
Strings
can
be
unquoted
for
simple
content
or
quoted
to
preserve
special
characters;
multi-line
strings
are
supported
using
literal
indicators.
The
format
includes
comments,
anchors
and
aliases
for
reuse,
and
optional
type
tags
(for
example
!str,
!int)
to
guide
parsing
and
validation.
It
supports
schemas
for
validation
and
tooling
integration.
typically
support
streaming
input,
enabling
processing
of
large
files
without
loading
them
entirely
into
memory.
The
ecosystem
emphasizes
consistent
error
reporting
and
cross-version
compatibility.
projects.
Proponents
argue
that
its
readability
and
stable
parsing
model
reduce
common
configuration
errors,
while
critics
note
that
it
has
a
smaller
ecosystem
and
fewer
battle-tested
libraries
than
more
established
formats.