mlterm

Tested Software version 3.9.4 on Linux. The homepage URL of this terminal is https://mlterm.sourceforge.net/. Full results available at ucs-detect repository path data/mlterm.yaml.

Score Breakdown

Detailed breakdown of how scores are calculated for mlterm:

#	Score Type	Raw Score	Final Scaled Score
1	WIDE	99.47%	99.3%
2	NARROW	100.00%	100.0%
3	ZWJ	0.00%	0.0%
4	LANG	90.95%	90.9%
5	VS16	50.00%	50.0%
6	VS15	0.00%	(excluded)
7	SRI	0.00%	0.0%
8	SFZ	100.00%	100.0%
9	RI	98.85%	98.9%
10	FEAT	37.50%	40.0%
11	Graphics	50%	50.0%
12	Resources	64.3%	64.3%

Score Comparison Plot:

The following plot shows how this terminal’s scores compare to all other terminals tested.

Scaled scores comparison across all metrics (normalized 0-100%)

Final Scaled Score Calculation:

• Raw Final Score: 58.68% (weighted average: WIDE + NARROW + ZWJ + LANG + VS16 + 0.33 * SRI + 0.33 * SFZ + RI + CAP + 0.5 * GFX + 0.5 * RSC) the categorized ‘average’ absolute support level of this terminal.

  Note

  RSC (Resources) is a composite CPU, memory, and runtime score. RSC is weighted at 0.5 (half as powerful as other metrics). FEAT (Features) is the fraction of notable features supported. GFX (Graphics) scores 100% for modern protocols (iTerm2, Kitty), 50% for legacy only (Sixel, ReGIS), 0% for none.

• Final Scaled Score: 40.5% (normalized across all terminals tested). Final Scaled scores are normalized (0-100%) relative to all terminals tested

WIDE Score Details:

Wide character support calculation:

• Total successful codepoints: 43362

• Total codepoints tested: 43592

• Formula: 43362 / 43592

• Result: 99.47%

NARROW Score Details:

Narrow character support calculation:

• Total successful codepoints: 36254

• Total codepoints tested: 36254

• Formula: 36254 / 36254

• Result: 100.00%

ZWJ Score Details:

Emoji ZWJ (Zero-Width Joiner) support calculation:

• Total successful sequences: 0

• Total sequences tested: 1445

• Formula: 0 / 1445

• Result: 0.00%

VS16 Score Details:

Variation Selector-16 support calculation:

• Errors: 213 of 426 codepoints tested

• Success rate: 50.0%

• Formula: 50.0 / 100

• Result: 50.00%

VS15 Score Details (excluded from final score):

Variation Selector-15 support calculation:

• Errors: 158 of 158 codepoints tested

• Success rate: 0.0%

• Formula: 0.0 / 100

• Result: 0.00%

SRI Score Details:

Standalone Regional Indicator support calculation:

• Total successful codepoints: 0

• Total codepoints tested: 26

• Formula: 0 / 26

• Result: 0.00%

SFZ Score Details:

Standalone Fitzpatrick skin tone modifier support calculation:

• Total successful codepoints: 5

• Total codepoints tested: 5

• Formula: 5 / 5

• Result: 100.00%

RI Score Details:

Regional Indicator flag sequence support calculation:

• Total successful sequences: 259

• Total sequences tested: 262

• Formula: 259 / 262

• Result: 98.85%

Features Score Details:

Notable terminal features (6.0 / 16):

• Set bracketed paste mode (2004): yes

• Synchronized Output (2026): no

• Send FocusIn/FocusOut events (1004): yes

• Enable SGR Mouse Mode (1006): yes

• Grapheme Clustering (2027): no

• Bracketed Paste MIME (5522): no

• Kitty Keyboard: no

• XTGETTCAP (Partial): partial

• Text Sizing (OSC 66): no

• Kitty Clipboard Protocol: no

• OSC 52 Clipboard: no

• Kitty Pointer Shapes (OSC 22): no

• Kitty Notifications (OSC 99): no

• Color Report (OSC 10/11): yes

• Terminal Identification (XTVERSION): yes

• Truecolor Detection: partial

Raw score: 37.50%

Graphics Score Details:

Graphics protocol support (50%):

• Sixel: yes

• ReGIS: yes

• iTerm2: no

• Kitty: no

Scoring: 100% for modern (iTerm2/Kitty), 50% for legacy only (Sixel/ReGIS), 0% for none

Resource Score Details:

• Duration: 29.3s

• Mean CPU: 42.2%

• Mean RSS: 23.9 MB

• Resources Score: 64/100

• Note: log-scale composite cost = log(CPU+1) + log(RSS+1) + log(time+1)

• Scaled result: 64.3%

LANG Score Details (Geometric Mean):

Geometric mean calculation:

• Formula: (p₁ × p₂ × … × pₙ)^(1/n) where n = 118 languages

• About geometric mean

• Result: 90.95%

Wide character support

Wide character support of mlterm is 99.5% (230 errors of 43592 codepoints tested).

Sequence of a WIDE character, from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0001D323	‘\U0001d323’	So	2	TETRAGRAM FOR BOLD RESOLUTION

Total codepoints: 1

• Shell test using printf(1), '|' should align in output:

  $ printf "\xf0\x9d\x8c\xa3|\\n12|\\n"
  𝌣|
  12|
  

• See Line 42270 of ucs_wide.txt for this sequence in the example file.

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Narrow character support

Narrow character support of mlterm is 100.0% (0 errors of 36254 codepoints tested).

Emoji ZWJ support

Compatibility of mlterm with the Unicode Emoji ZWJ sequence table is 0.0% (1445 errors of 1445 sequences tested).

Sequence of an Emoji ZWJ Sequence, from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0001F3C3	‘\U0001f3c3’	So	2	RUNNER
2	U+0001F3FF	‘\U0001f3ff’	Sk	2	EMOJI MODIFIER FITZPATRICK TYPE-6
3	U+200D	‘\u200d’	Cf	0	ZERO WIDTH JOINER
4	U+2640	‘\u2640’	So	1	FEMALE SIGN
5	U+FE0F	‘\ufe0f’	Mn	0	VARIATION SELECTOR-16

Total codepoints: 5

• Shell test using printf(1), '|' should align in output:

  $ printf "\xf0\x9f\x8f\x83\xf0\x9f\x8f\xbf\xe2\x80\x8d\xe2\x99\x80\xef\xb8\x8f|\\n12|\\n"
  🏃🏿‍♀️|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 6.

Variation Selector-16 support

Emoji VS-16 results for mlterm is 213 errors out of 426 total codepoints tested, 50.0% success. Sequence of a NARROW Emoji made WIDE by Variation Selector-16, from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+2733	‘\u2733’	So	1	EIGHT SPOKED ASTERISK
2	U+FE0F	‘\ufe0f’	Mn	0	VARIATION SELECTOR-16

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe2\x9c\xb3\xef\xb8\x8f|\\n12|\\n"
  ✳️|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Variation Selector-15 support

Emoji VS-15 results for mlterm is 158 errors out of 158 total codepoints tested, 0.0% success. Sequence of a WIDE Emoji made NARROW by Variation Selector-15, from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0001F3AE	‘\U0001f3ae’	So	2	VIDEO GAME
2	U+FE0E	‘\ufe0e’	Mn	0	VARIATION SELECTOR-15

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xf0\x9f\x8e\xae\xef\xb8\x8e|\\n1|\\n"
  🎮︎|
  1|
  

Screenshot:

• python wcwidth.wcswidth() measures width 1, while mlterm measures width 2.

Standalone Regional Indicator support

Standalone Regional Indicator support of mlterm is 0.0% (26 errors of 26 codepoints tested).

Sequence of a standalone Regional Indicator, from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0001F1F3	‘\U0001f1f3’	So	2	REGIONAL INDICATOR SYMBOL LETTER N

Total codepoints: 1

• Shell test using printf(1), '|' should align in output:

  $ printf "\xf0\x9f\x87\xb3|\\n12|\\n"
  🇳|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Standalone Fitzpatrick modifier support

Standalone Fitzpatrick skin tone modifier support of mlterm is 100.0% (0 errors of 5 codepoints tested).

Regional Indicator flag sequence support

Regional Indicator flag sequence support of mlterm is 98.9% (3 errors of 262 sequences tested).

Sequence of a Regional Indicator flag sequence, from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0001F3F4	‘\U0001f3f4’	So	2	WAVING BLACK FLAG
2	U+000E0067	‘\U000e0067’	Cf	0	TAG LATIN SMALL LETTER G
3	U+000E0062	‘\U000e0062’	Cf	0	TAG LATIN SMALL LETTER B
4	U+000E0073	‘\U000e0073’	Cf	0	TAG LATIN SMALL LETTER S
5	U+000E0063	‘\U000e0063’	Cf	0	TAG LATIN SMALL LETTER C
6	U+000E0074	‘\U000e0074’	Cf	0	TAG LATIN SMALL LETTER T
7	U+000E007F	‘\U000e007f’	Cf	0	CANCEL TAG

Total codepoints: 7

• Shell test using printf(1), '|' should align in output:

  $ printf "\xf0\x9f\x8f\xb4\xf3\xa0\x81\xa7\xf3\xa0\x81\xa2\xf3\xa0\x81\xb3\xf3\xa0\x81\xa3\xf3\xa0\x81\xb4\xf3\xa0\x81\xbf|\\n12|\\n"
  🏴󠁧󠁢󠁳󠁣󠁴󠁿|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 8.

Graphics Protocol Support

mlterm supports the following graphics protocols: Sixel, ReGIS.

Detection Methods:

• Sixel and ReGIS: Detected via the Device Attributes (DA1) query CSI c (\x1b[c). Extension code 4 indicates Sixel support, 3 ReGIS.

• Kitty graphics: Detected by sending a Kitty graphics query and checking for an OK response.

• iTerm2 inline images: Detected via the iTerm2 capabilities query OSC 1337 ; Capabilities.

Device Attributes Response:

• Extensions reported: 1, 2, 3, 4, 6, 7, 15, 18, 22, 29

• Sixel indicator (4): present

• ReGIS indicator (3): present

Language Support

The following 90 languages were tested with 100% success:

(Jinan), (Yeonbyeon), Aja, Amarakaeri, Arabic, Standard, Assyrian Neo-Aramaic, Baatonum, Bamun, Belanda Viri, Bora, Catalan (2), Chickasaw, Chinantec, Chiltepec, Chinese, Gan, Chinese, Hakka, Chinese, Jinyu, Chinese, Mandarin (Beijing), Chinese, Mandarin (Guiyang), Chinese, Mandarin (Harbin), Chinese, Mandarin (Nanjing), Chinese, Mandarin (Simplified), Chinese, Mandarin (Tianjin), Chinese, Mandarin (Traditional), Chinese, Min Nan, Chinese, Wu, Chinese, Xiang, Chinese, Yue, Colorado, Dagaare, Southern, Dangme, Dendi, Dinka, Northeastern, Ditammari, Dzongkha, Evenki, Fon, French (Welche), Fur, Ga, Gen, Gilyak, Gumuz, Japanese, Japanese (Osaka), Japanese (Tokyo), Kabyle, Korean, Lamnso’, Lao, Lingala (tones), Maldivian, Maori (2), Mazahua Central, Mirandese, Mixtec, Metlatónoc, Mongolian, Halh (Mongolian), Mòoré, Nanai, Navajo, Nuosu, Orok, Otomi, Mezquital, Pashto, Northern, Picard, Pular (Adlam), Saint Lucian Creole French, Secoya, Seraiki, Shipibo-Conibo, Siona, South Azerbaijani, Tagalog (Tagalog), Tai Dam, Tamazight, Central Atlas, Tem, Thai, Thai (2), Tibetan, Central, Ticuna, Uduk, Urdu, Urdu (2), Veps, Vietnamese, Vietnamese (Han nom), Waama, Yaneshaʼ, Yiddish, Eastern, Yoruba, Éwé.

The following 28 languages are not fully supported:

lang	n_errors	n_total	pct_success
Sanskrit (Grantha)	197	293	32.8%
Tamil	106	175	39.4%
Tamil (Sri Lanka)	106	175	39.4%
Kannada	158	287	44.9%
Sinhala	112	258	56.6%
Malayalam	334	845	60.5%
Bengali	144	385	62.6%
Tamang, Eastern	26	70	62.9%
Gujarati	120	343	65.0%
Bhojpuri	108	313	65.5%
Panjabi, Eastern	103	302	65.9%
Magahi	102	314	67.5%
Marathi	126	391	67.8%
Hindi	121	390	69.0%
Nepali	103	352	70.7%
Burmese	76	268	71.6%
Maithili	101	357	71.7%
Sanskrit	138	493	72.0%
Khmer, Central	116	443	73.8%
Khün	93	396	76.5%
Telugu	86	384	77.6%
Mon	68	332	79.5%
Javanese (Javanese)	86	530	83.8%
Chakma	34	267	87.3%
Shan	18	181	90.1%
Farsi, Western	4	49	91.8%
Dari	4	54	92.6%
Panjabi, Western	1	62	98.4%

Sanskrit (Grantha)

Sequence of language Sanskrit (Grantha) from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+00011305	‘\U00011305’	Lo	1	GRANTHA LETTER A
2	U+00011302	‘\U00011302’	Mc	0	GRANTHA SIGN ANUSVARA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xf0\x91\x8c\x85\xf0\x91\x8c\x82|\\n12|\\n"
  𑌅𑌂|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Tamil

Sequence of language Tamil from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0B95	‘\u0b95’	Lo	1	TAMIL LETTER KA
2	U+0BBE	‘\u0bbe’	Mc	0	TAMIL VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xae\x95\xe0\xae\xbe|\\n12|\\n"
  கா|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Tamil (Sri Lanka)

Sequence of language Tamil (Sri Lanka) from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0B95	‘\u0b95’	Lo	1	TAMIL LETTER KA
2	U+0BBE	‘\u0bbe’	Mc	0	TAMIL VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xae\x95\xe0\xae\xbe|\\n12|\\n"
  கா|
  12|
  

Screenshot:

Kannada

Sequence of language Kannada from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0C85	‘\u0c85’	Lo	1	KANNADA LETTER A
2	U+0C82	‘\u0c82’	Mc	0	KANNADA SIGN ANUSVARA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xb2\x85\xe0\xb2\x82|\\n12|\\n"
  ಅಂ|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Sinhala

Sequence of language Sinhala from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0D9A	‘\u0d9a’	Lo	1	SINHALA LETTER ALPAPRAANA KAYANNA
2	U+0DCF	‘\u0dcf’	Mc	0	SINHALA VOWEL SIGN AELA-PILLA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xb6\x9a\xe0\xb7\x8f|\\n12|\\n"
  කා|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Malayalam

Sequence of language Malayalam from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0D05	‘\u0d05’	Lo	1	MALAYALAM LETTER A
2	U+0D02	‘\u0d02’	Mc	0	MALAYALAM SIGN ANUSVARA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xb4\x85\xe0\xb4\x82|\\n12|\\n"
  അം|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Bengali

Sequence of language Bengali from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0985	‘\u0985’	Lo	1	BENGALI LETTER A
2	U+0982	‘\u0982’	Mc	0	BENGALI SIGN ANUSVARA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa6\x85\xe0\xa6\x82|\\n12|\\n"
  অং|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Tamang, Eastern

Sequence of language Tamang, Eastern from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

Gujarati

Sequence of language Gujarati from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0A95	‘\u0a95’	Lo	1	GUJARATI LETTER KA
2	U+0A83	‘\u0a83’	Mc	0	GUJARATI SIGN VISARGA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xaa\x95\xe0\xaa\x83|\\n12|\\n"
  કઃ|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Bhojpuri

Sequence of language Bhojpuri from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Panjabi, Eastern

Sequence of language Panjabi, Eastern from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0A15	‘\u0a15’	Lo	1	GURMUKHI LETTER KA
2	U+0A3E	‘\u0a3e’	Mc	0	GURMUKHI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa8\x95\xe0\xa8\xbe|\\n12|\\n"
  ਕਾ|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Magahi

Sequence of language Magahi from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

Marathi

Sequence of language Marathi from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

Hindi

Sequence of language Hindi from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

Nepali

Sequence of language Nepali from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

Burmese

Sequence of language Burmese from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+1000	‘\u1000’	Lo	1	MYANMAR LETTER KA
2	U+1031	‘\u1031’	Mc	0	MYANMAR VOWEL SIGN E

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe1\x80\x80\xe1\x80\xb1|\\n12|\\n"
  ကေ|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Maithili

Sequence of language Maithili from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

Sanskrit

Sequence of language Sanskrit from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0915	‘\u0915’	Lo	1	DEVANAGARI LETTER KA
2	U+093E	‘\u093e’	Mc	0	DEVANAGARI VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n"
  का|
  12|
  

Screenshot:

Khmer, Central

Sequence of language Khmer, Central from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+1780	‘\u1780’	Lo	1	KHMER LETTER KA
2	U+17B6	‘\u17b6’	Mc	0	KHMER VOWEL SIGN AA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe1\x9e\x80\xe1\x9e\xb6|\\n12|\\n"
  កា|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Khün

Sequence of language Khün from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+1A20	‘\u1a20’	Lo	1	TAI THAM LETTER HIGH KA
2	U+1A6E	‘\u1a6e’	Mc	0	TAI THAM VOWEL SIGN E
3	U+1A60	‘\u1a60’	Mn	0	TAI THAM SIGN SAKOT

Total codepoints: 3

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe1\xa8\xa0\xe1\xa9\xae\xe1\xa9\xa0|\\n12|\\n"
  ᨠᩮ᩠|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Telugu

Sequence of language Telugu from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+0C05	‘\u0c05’	Lo	1	TELUGU LETTER A
2	U+0C02	‘\u0c02’	Mc	0	TELUGU SIGN ANUSVARA

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe0\xb0\x85\xe0\xb0\x82|\\n12|\\n"
  అం|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Mon

Sequence of language Mon from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+1000	‘\u1000’	Lo	1	MYANMAR LETTER KA
2	U+1031	‘\u1031’	Mc	0	MYANMAR VOWEL SIGN E

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe1\x80\x80\xe1\x80\xb1|\\n12|\\n"
  ကေ|
  12|
  

Screenshot:

Javanese (Javanese)

Sequence of language Javanese (Javanese) from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+A98F	‘\ua98f’	Lo	1	JAVANESE LETTER KA
2	U+A983	‘\ua983’	Mc	0	JAVANESE SIGN WIGNYAN

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xea\xa6\x8f\xea\xa6\x83|\\n12|\\n"
  ꦏꦃ|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Chakma

Sequence of language Chakma from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+00011103	‘\U00011103’	Lo	1	CHAKMA LETTER AA
2	U+0001112C	‘\U0001112c’	Mc	0	CHAKMA VOWEL SIGN E

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xf0\x91\x84\x83\xf0\x91\x84\xac|\\n12|\\n"
  𑄃𑄬|
  12|
  

Screenshot:

• python wcwidth.wcswidth() measures width 2, while mlterm measures width 1.

Shan

Sequence of language Shan from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+1010	‘\u1010’	Lo	1	MYANMAR LETTER TA
2	U+1031	‘\u1031’	Mc	0	MYANMAR VOWEL SIGN E

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xe1\x80\x90\xe1\x80\xb1|\\n12|\\n"
  တေ|
  12|
  

Screenshot:

Farsi, Western

Sequence of language Farsi, Western from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+062A	‘\u062a’	Lo	1	ARABIC LETTER TEH
2	U+200C	‘\u200c’	Cf	0	ZERO WIDTH NON-JOINER

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xd8\xaa\xe2\x80\x8c|\\n1|\\n"
  ت‌|
  1|
  

Screenshot:

Dari

Sequence of language Dari from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+062A	‘\u062a’	Lo	1	ARABIC LETTER TEH
2	U+200C	‘\u200c’	Cf	0	ZERO WIDTH NON-JOINER

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xd8\xaa\xe2\x80\x8c|\\n1|\\n"
  ت‌|
  1|
  

Screenshot:

• python wcwidth.wcswidth() measures width 1, while mlterm measures width 2.

Panjabi, Western

Sequence of language Panjabi, Western from midpoint of alignment failure records:

#	Codepoint	Python	Category	wcwidth	Name
1	U+06D2	‘\u06d2’	Lo	1	ARABIC LETTER YEH BARREE
2	U+200C	‘\u200c’	Cf	0	ZERO WIDTH NON-JOINER

Total codepoints: 2

• Shell test using printf(1), '|' should align in output:

  $ printf "\xdb\x92\xe2\x80\x8c|\\n1|\\n"
  ے‌|
  1|
  

Screenshot:

• python wcwidth.wcswidth() measures width 1, while mlterm measures width 2.

DEC Private Modes Support

DEC private modes results for mlterm: 3 changeable modes of 3 supported out of 8 total modes tested (37.5% support, 37.5% changeable).

Complete list of DEC private modes tested:

Mode	Name	Description	Supported	Changeable	Enabled
1004	FOCUS_IN_OUT_EVENTS	Send FocusIn/FocusOut events	Yes	Yes	No
1006	MOUSE_EXTENDED_SGR	Enable SGR Mouse Mode	Yes	Yes	No
2004	BRACKETED_PASTE	Set bracketed paste mode	Yes	Yes	No
2026	SYNCHRONIZED_OUTPUT	Synchronized Output	No	No	No
2027	GRAPHEME_CLUSTERING	Grapheme Clustering	No	No	No
2031	COLOR_PALETTE_UPDATES	Color palette updates	No	No	No
2048	IN_BAND_WINDOW_RESIZE	In-Band Window Resize Notifications	No	No	No
5522	BRACKETED_PASTE_MIME	Bracketed Paste MIME	No	No	No

Summary: 3 changeable, 5 not changeable.

Kitty Keyboard Protocol

mlterm does not support the Kitty keyboard protocol.

XTGETTCAP (Terminfo Capabilities)

mlterm supports the XTGETTCAP sequence and reports 38 terminfo capabilities (Partial).

#	Capability	Description	Value
1	TN	Terminal name	mlterm
2	colors	Max colors on screen	256
3	kEND	Shifted end key	\E[1;2F
4	kHOM	Shifted home key	\E[1;2H
5	kLFT	Shifted left-arrow key	\E[1;2D
6	kNXT	Shifted next-page key	\E[6;2~
7	kPRV	Shifted previous-page key	\E[5;2~
8	kRIT	Shifted right-arrow key	\E[1;2C
9	ka1	Keypad upper left	\E[H
10	ka3	Keypad upper right	\E[5~
11	kbs	Backspace key	\b
12	kc1	Keypad lower left	\E[F
13	kc3	Keypad lower right	\E[6~
14	kcbt	Back-tab key	\E[Z
15	kcub1	Left arrow key	\E[D
16	kcud1	Down arrow key	\E[B
17	kcuf1	Right arrow key	\E[C
18	kcuu1	Up arrow key	\E[A
19	kdch1	Delete character key	\E[3~
20	kend	End key	\E[F
21	kf1	Function key F1	\EOP
22	kf10	Function key F10	\E[21~
23	kf11	Function key F11	\E[23~
24	kf12	Function key F12	\E[24~
25	kf2	Function key F2	\EOQ
26	kf3	Function key F3	\EOR
27	kf4	Function key F4	\EOS
28	kf5	Function key F5	\E[15~
29	kf6	Function key F6	\E[17~
30	kf7	Function key F7	\E[18~
31	kf8	Function key F8	\E[19~
32	kf9	Function key F9	\E[20~
33	khome	Home key	\E[H
34	kich1	Insert character key	\E[2~
35	kind	Scroll-down key	\E[1;2B
36	knp	Next page key	\E[6~
37	kpp	Previous page key	\E[5~
38	kri	Scroll-up key	\E[1;2A

The XTGETTCAP sequence (DCS + q Pt ST) allows applications to query terminfo capabilities directly from the terminal emulator, rather than relying on the system terminfo database.

Text Sizing Protocol (OSC 66)

mlterm does not support the Text Sizing protocol.

Truecolor Support

mlterm supports 24-bit truecolor, detectable via:

• XTGETTCAP (RGB capability): no

• DECRQSS (truecolor probe): no

• COLORTERM: yes (truecolor)

Warning

COLORTERM is an environment variable, not a terminal query. It is not forwarded over SSH without SendEnv / AcceptEnv configuration, so detection via COLORTERM alone may be unreliable on remote hosts.

OSC 52 Clipboard Support

mlterm does not advertise OSC 52 clipboard support via DA1 extension 52 or XTGETTCAP Ms.

• DA1 extension 52: no

• XTGETTCAP Ms: no

Terminal Identification

mlterm is identified as mlterm version 3.9.4 (detected via XTVERSION + XTGETTCAP TN).

• XTVERSION (raw): mlterm(3.9.4)

• XTVERSION: yes

• XTGETTCAP TN: yes (mlterm)

• ENQ: no

• TERM_PROGRAM: no

• TERM: no (xterm)

Reproduction

To reproduce these results for mlterm, install and run ucs-detect with the following commands:

uvx ucs-detect --rerun data/mlterm.yaml

Test Performance

The test suite completed in 29.26 seconds (29s).

• Mean CPU: 42.2%

• Mean RSS: 23.9 MB

• Total time: 29.3s

CPU usage during test execution for mlterm.

RSS memory usage during test execution for mlterm.

Test duration for mlterm compared to all other terminals.

CPU % vs duration trade-off for mlterm.