XTerm
Tested Software version 410 on Linux. The homepage URL of this terminal is https://invisible-island.net/xterm/. Full results available at ucs-detect repository path data/xterm.yaml.
Score Breakdown
Detailed breakdown of how scores are calculated for XTerm:
# |
Score Type |
Raw Score |
Final Scaled Score |
|---|---|---|---|
1 |
94.86% |
92.7% |
|
2 |
95.72% |
95.7% |
|
3 |
0.69% |
0.7% |
|
4 |
92.35% |
92.3% |
|
5 |
50.00% |
50.0% |
|
6 |
0.00% |
(excluded) |
|
7 |
0.00% |
0.0% |
|
8 |
100.00% |
100.0% |
|
9 |
100.00% |
100.0% |
|
10 |
40.62% |
43.3% |
|
11 |
0% |
0.0% |
|
12 |
90.8% |
90.8% |
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: 57.21% (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: 38.1% (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: 480
Total codepoints tested: 506
Formula: 480 / 506
Result: 94.86%
NARROW Score Details:
Narrow character support calculation:
Total successful codepoints: 179
Total codepoints tested: 187
Formula: 179 / 187
Result: 95.72%
ZWJ Score Details:
Emoji ZWJ (Zero-Width Joiner) support calculation:
Total successful sequences: 10
Total sequences tested: 1445
Formula: 10 / 1445
Result: 0.69%
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: 262
Total sequences tested: 262
Formula: 262 / 262
Result: 100.00%
Features Score Details:
Notable terminal features (6.5 / 16):
Kitty Keyboard: no
XTGETTCAP (Partial): partial
OSC 52 Clipboard: no
Truecolor Detection: yes
Raw score: 40.62%
Graphics Score Details:
Graphics protocol support (0%):
Sixel: no
ReGIS: no
iTerm2: no
Kitty: no
Scoring: 100% for modern (iTerm2/Kitty), 50% for legacy only (Sixel/ReGIS), 0% for none
Resource Score Details:
Duration: 3.0s
Mean CPU: 17.0%
Mean RSS: 25.6 MB
Resources Score: 91/100
Note: log-scale composite cost = log(CPU+1) + log(RSS+1) + log(time+1)
Scaled result: 90.8%
LANG Score Details (Geometric Mean):
Geometric mean calculation:
Formula: (p₁ × p₂ × … × pₙ)^(1/n) where n = 85 languages
About geometric mean
Result: 92.35%
Wide character support
Wide character support of XTerm is 94.9% (26 errors of 506 codepoints tested).
Sequence of a WIDE character, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\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|
See Line 42371 of ucs_wide.txt for this sequence in the example file.
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 1.
Narrow character support
Narrow character support of XTerm is 95.7% (8 errors of 187 codepoints tested).
Sequence of a NARROW character, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u324c’ |
No |
1 |
CIRCLED NUMBER FIFTY ON BLACK SQUARE |
Total codepoints: 1
Shell test using printf(1),
'|'should align in output:$ printf "\xe3\x89\x8c|\\n1|\\n" ㉌| 1|
python wcwidth.wcswidth() measures width 1, while XTerm measures width 2.
Emoji ZWJ support
Compatibility of XTerm with the Unicode Emoji ZWJ sequence table is 0.7% (1435 errors of 1445 sequences tested).
Sequence of an Emoji ZWJ Sequence, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U0001f482’ |
So |
2 |
GUARDSMAN |
|
2 |
‘\U0001f3fe’ |
Sk |
2 |
EMOJI MODIFIER FITZPATRICK TYPE-5 |
|
3 |
‘\u200d’ |
Cf |
0 |
ZERO WIDTH JOINER |
|
4 |
‘\u2642’ |
So |
1 |
MALE SIGN |
|
5 |
‘\ufe0f’ |
Mn |
0 |
VARIATION SELECTOR-16 |
Total codepoints: 5
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x9f\x92\x82\xf0\x9f\x8f\xbe\xe2\x80\x8d\xe2\x99\x82\xef\xb8\x8f|\\n12|\\n" 💂🏾♂️| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 5.
Variation Selector-16 support
Emoji VS-16 results for XTerm 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 |
‘\u2733’ |
So |
1 |
EIGHT SPOKED ASTERISK |
|
2 |
‘\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 XTerm measures width 1.
Variation Selector-15 support
Emoji VS-15 results for XTerm 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 |
‘\U0001f3ae’ |
So |
2 |
VIDEO GAME |
|
2 |
‘\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 XTerm measures width 2.
Standalone Regional Indicator support
Standalone Regional Indicator support of XTerm 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 |
‘\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 XTerm measures width 1.
Standalone Fitzpatrick modifier support
Standalone Fitzpatrick skin tone modifier support of XTerm is 100.0% (0 errors of 5 codepoints tested).
Regional Indicator flag sequence support
Regional Indicator flag sequence support of XTerm is 100.0% (0 errors of 262 sequences tested).
Graphics Protocol Support
XTerm does not report support for any graphics protocols.
Note: Sixel support can be enabled with argument -ti 340.
Detection Methods:
Sixel and ReGIS: Detected via the Device Attributes (DA1) query
CSI c(\x1b[c). Extension code4indicates Sixel support,3ReGIS.Kitty graphics: Detected by sending a Kitty graphics query and checking for an
OKresponse.iTerm2 inline images: Detected via the iTerm2 capabilities query
OSC 1337 ; Capabilities.
Device Attributes Response:
Language Support
The following 65 languages were tested with 100% success:
Aja, Amarakaeri, Arabic, Standard, Assyrian Neo-Aramaic, Baatonum, Bamun, Belanda Viri, Bora, Catalan (2), Chickasaw, Chinantec, Chiltepec, Dagaare, Southern, Dari, Dendi, Dinka, Northeastern, Dzongkha, Evenki, Farsi, Western, Fon, French (Welche), Fur, Ga, Gen, Gilyak, Gumuz, Kabyle, Lamnso’, Lao, Lingala (tones), Maldivian, Maori (2), Mazahua Central, Mòoré, Nanai, Navajo, Orok, Otomi, Mezquital, Panjabi, Eastern, Panjabi, Western, Pashto, Northern, Picard, Pular (Adlam), Secoya, Seraiki, Shan, Shipibo-Conibo, Sinhala, Siona, South Azerbaijani, Tagalog (Tagalog), Tai Dam, Tamazight, Central Atlas, Tamil, Tem, Thai, Thai (2), Tibetan, Central, Ticuna, Uduk, Urdu, Urdu (2), Vietnamese, Yaneshaʼ, Yiddish, Eastern, Yoruba.
The following 20 languages are not fully supported:
lang |
n_errors |
n_total |
pct_success |
|---|---|---|---|
321 |
488 |
34.2% |
|
6 |
11 |
45.5% |
|
81 |
155 |
47.7% |
|
46 |
103 |
55.3% |
|
139 |
382 |
63.6% |
|
56 |
164 |
65.9% |
|
7 |
22 |
68.2% |
|
22 |
71 |
69.0% |
|
19 |
66 |
71.2% |
|
96 |
335 |
71.3% |
|
61 |
237 |
74.3% |
|
90 |
390 |
76.9% |
|
50 |
290 |
82.8% |
|
41 |
252 |
83.7% |
|
42 |
335 |
87.5% |
|
14 |
236 |
94.1% |
|
13 |
225 |
94.2% |
|
10 |
223 |
95.5% |
|
7 |
208 |
96.6% |
|
4 |
354 |
98.9% |
Javanese (Javanese)
Sequence of language Javanese (Javanese) from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\ua98f’ |
Lo |
1 |
JAVANESE LETTER KA |
|
2 |
‘\ua9ba’ |
Mc |
0 |
JAVANESE VOWEL SIGN TALING |
|
3 |
‘\ua9b4’ |
Mc |
0 |
JAVANESE VOWEL SIGN TARUNG |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xea\xa6\x8f\xea\xa6\xba\xea\xa6\xb4|\\n12|\\n" ꦏꦺꦴ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Tamang, Eastern
Sequence of language Tamang, Eastern from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
4 |
‘\u094b’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN O |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\x95\xe0\xa5\x8b|\\n12|\\n" क्को| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Sanskrit
Sequence of language Sanskrit from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
4 |
‘\u093e’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN AA |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\x95\xe0\xa4\xbe|\\n12|\\n" क्का| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Marathi
Sequence of language Marathi from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
4 |
‘\u093e’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN AA |
|
5 |
‘\u0902’ |
Mn |
0 |
DEVANAGARI SIGN ANUSVARA |
Total codepoints: 5
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\x95\xe0\xa4\xbe\xe0\xa4\x82|\\n12|\\n" क्कां| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Malayalam
Sequence of language Malayalam from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0d15’ |
Lo |
1 |
MALAYALAM LETTER KA |
|
2 |
‘\u0d4d’ |
Mn |
0 |
MALAYALAM SIGN VIRAMA |
|
3 |
‘\u0d15’ |
Lo |
1 |
MALAYALAM LETTER KA |
|
4 |
‘\u0d3e’ |
Mc |
0 |
MALAYALAM VOWEL SIGN AA |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xb4\x95\xe0\xb5\x8d\xe0\xb4\x95\xe0\xb4\xbe|\\n12|\\n" ക്കാ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Hindi
Sequence of language Hindi from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0928’ |
Lo |
1 |
DEVANAGARI LETTER NA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa8\xe0\xa4\xbf|\\n12|\\n" क्नि| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Magahi
Sequence of language Magahi from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0937’ |
Lo |
1 |
DEVANAGARI LETTER SSA |
|
4 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
5 |
‘\u0923’ |
Lo |
1 |
DEVANAGARI LETTER NNA |
Total codepoints: 5
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xb7\xe0\xa5\x8d\xe0\xa4\xa3|\\n12|\\n" क्ष्ण| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Nepali
Sequence of language Nepali from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093e’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN AA |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbe|\\n12|\\n" क्ता| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Maithili
Sequence of language Maithili from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0937’ |
Lo |
1 |
DEVANAGARI LETTER SSA |
|
4 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
5 |
‘\u092f’ |
Lo |
1 |
DEVANAGARI LETTER YA |
Total codepoints: 5
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xb7\xe0\xa5\x8d\xe0\xa4\xaf|\\n12|\\n" क्ष्य| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Bengali
Sequence of language Bengali from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0995’ |
Lo |
1 |
BENGALI LETTER KA |
|
2 |
‘\u09bf’ |
Mc |
0 |
BENGALI VOWEL SIGN I |
|
3 |
‘\u0982’ |
Mc |
0 |
BENGALI SIGN ANUSVARA |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa6\x95\xe0\xa6\xbf\xe0\xa6\x82|\\n12|\\n" কিং| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Sanskrit (Grantha)
Sequence of language Sanskrit (Grantha) from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U00011315’ |
Lo |
1 |
GRANTHA LETTER KA |
|
2 |
‘\U0001133e’ |
Mc |
0 |
GRANTHA VOWEL SIGN AA |
|
3 |
‘\U00011302’ |
Mc |
0 |
GRANTHA SIGN ANUSVARA |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x91\x8c\x95\xf0\x91\x8c\xbe\xf0\x91\x8c\x82|\\n12|\\n" 𑌕𑌾𑌂| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Khmer, Central
Sequence of language Khmer, Central from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1780’ |
Lo |
1 |
KHMER LETTER KA |
|
2 |
‘\u17d2’ |
Mn |
0 |
KHMER SIGN COENG |
|
3 |
‘\u178a’ |
Lo |
1 |
KHMER LETTER DA |
|
4 |
‘\u17c5’ |
Mc |
0 |
KHMER VOWEL SIGN AU |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\x9e\x80\xe1\x9f\x92\xe1\x9e\x8a\xe1\x9f\x85|\\n12|\\n" ក្ដៅ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Gujarati
Sequence of language Gujarati from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0a95’ |
Lo |
1 |
GUJARATI LETTER KA |
|
2 |
‘\u0acd’ |
Mn |
0 |
GUJARATI SIGN VIRAMA |
|
3 |
‘\u0a95’ |
Lo |
1 |
GUJARATI LETTER KA |
|
4 |
‘\u0abe’ |
Mc |
0 |
GUJARATI VOWEL SIGN AA |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xaa\x95\xe0\xab\x8d\xe0\xaa\x95\xe0\xaa\xbe|\\n12|\\n" ક્કા| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Bhojpuri
Sequence of language Bhojpuri from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0918’ |
Lo |
1 |
DEVANAGARI LETTER GHA |
|
4 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
5 |
‘\u0918’ |
Lo |
1 |
DEVANAGARI LETTER GHA |
|
6 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
|
7 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
Total codepoints: 7
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\x98\xe0\xa5\x8d\xe0\xa4\x98\xe0\xa4\xbf\xe0\xa5\x8d|\\n12|\\n" क्घ्घि्| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 4.
Telugu
Sequence of language Telugu from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0c15’ |
Lo |
1 |
TELUGU LETTER KA |
|
2 |
‘\u0c41’ |
Mc |
0 |
TELUGU VOWEL SIGN U |
|
3 |
‘\u0c02’ |
Mc |
0 |
TELUGU SIGN ANUSVARA |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xb0\x95\xe0\xb1\x81\xe0\xb0\x82|\\n12|\\n" కుం| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Kannada
Sequence of language Kannada from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0c95’ |
Lo |
1 |
KANNADA LETTER KA |
|
2 |
‘\u0cbe’ |
Mc |
0 |
KANNADA VOWEL SIGN AA |
|
3 |
‘\u0c82’ |
Mc |
0 |
KANNADA SIGN ANUSVARA |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xb2\x95\xe0\xb2\xbe\xe0\xb2\x82|\\n12|\\n" ಕಾಂ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Chakma
Sequence of language Chakma from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U00011107’ |
Lo |
1 |
CHAKMA LETTER KAA |
|
2 |
‘\U00011133’ |
Mn |
0 |
CHAKMA VIRAMA |
|
3 |
‘\U00011120’ |
Lo |
1 |
CHAKMA LETTER YYAA |
|
4 |
‘\U0001112c’ |
Mc |
0 |
CHAKMA VOWEL SIGN E |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x91\x84\x87\xf0\x91\x84\xb3\xf0\x91\x84\xa0\xf0\x91\x84\xac|\\n12|\\n" 𑄇𑄳𑄠𑄬| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Burmese
Sequence of language Burmese from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1000’ |
Lo |
1 |
MYANMAR LETTER KA |
|
2 |
‘\u103b’ |
Mc |
0 |
MYANMAR CONSONANT SIGN MEDIAL YA |
|
3 |
‘\u1031’ |
Mc |
0 |
MYANMAR VOWEL SIGN E |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\x80\x80\xe1\x80\xbb\xe1\x80\xb1|\\n12|\\n" ကျေ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Mon
Sequence of language Mon from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1007’ |
Lo |
1 |
MYANMAR LETTER JA |
|
2 |
‘\u103c’ |
Mc |
0 |
MYANMAR CONSONANT SIGN MEDIAL RA |
|
3 |
‘\u1031’ |
Mc |
0 |
MYANMAR VOWEL SIGN E |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\x80\x87\xe1\x80\xbc\xe1\x80\xb1|\\n12|\\n" ဇြေ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
Khün
Sequence of language Khün from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1a23’ |
Lo |
1 |
TAI THAM LETTER LOW KA |
|
2 |
‘\u1a55’ |
Mc |
0 |
TAI THAM CONSONANT SIGN MEDIAL RA |
|
3 |
‘\u1a6e’ |
Mc |
0 |
TAI THAM VOWEL SIGN E |
|
4 |
‘\u1a60’ |
Mn |
0 |
TAI THAM SIGN SAKOT |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\xa8\xa3\xe1\xa9\x95\xe1\xa9\xae\xe1\xa9\xa0|\\n12|\\n" ᨣᩕᩮ᩠| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while XTerm measures width 3.
DEC Private Modes Support
DEC private modes results for XTerm: 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
XTerm does not support the Kitty keyboard protocol.
XTGETTCAP (Terminfo Capabilities)
XTerm supports the XTGETTCAP sequence and reports 40 terminfo capabilities (Partial).
# |
Capability |
Description |
Value |
|---|---|---|---|
1 |
RGB |
Bits per color channel (8 = 24-bit truecolor) |
|
2 |
TN |
Terminal name |
|
3 |
colors |
Max colors on screen |
|
4 |
kEND |
Shifted end key |
|
5 |
kHOM |
Shifted home key |
|
6 |
kLFT |
Shifted left-arrow key |
|
7 |
kNXT |
Shifted next-page key |
|
8 |
kPRV |
Shifted previous-page key |
|
9 |
kRIT |
Shifted right-arrow key |
|
10 |
ka1 |
Keypad upper left |
|
11 |
ka3 |
Keypad upper right |
|
12 |
kbs |
Backspace key |
|
13 |
kc1 |
Keypad lower left |
|
14 |
kc3 |
Keypad lower right |
|
15 |
kcbt |
Back-tab key |
|
16 |
kcub1 |
Left arrow key |
|
17 |
kcud1 |
Down arrow key |
|
18 |
kcuf1 |
Right arrow key |
|
19 |
kcuu1 |
Up arrow key |
|
20 |
kdch1 |
Delete character key |
|
21 |
kend |
End key |
|
22 |
kent |
Enter/send key |
|
23 |
kf1 |
Function key F1 |
|
24 |
kf10 |
Function key F10 |
|
25 |
kf11 |
Function key F11 |
|
26 |
kf12 |
Function key F12 |
|
27 |
kf2 |
Function key F2 |
|
28 |
kf3 |
Function key F3 |
|
29 |
kf4 |
Function key F4 |
|
30 |
kf5 |
Function key F5 |
|
31 |
kf6 |
Function key F6 |
|
32 |
kf7 |
Function key F7 |
|
33 |
kf8 |
Function key F8 |
|
34 |
kf9 |
Function key F9 |
|
35 |
khome |
Home key |
|
36 |
kich1 |
Insert character key |
|
37 |
kind |
Scroll-down key |
|
38 |
knp |
Next page key |
|
39 |
kpp |
Previous page key |
|
40 |
kri |
Scroll-up key |
|
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)
XTerm does not support the Text Sizing protocol.
Truecolor Support
XTerm supports 24-bit truecolor, detectable via:
XTGETTCAP (RGB capability): yes (RGB)
DECRQSS (truecolor probe): yes (probe)
COLORTERM: N/A
OSC 52 Clipboard Support
XTerm does not advertise OSC 52 clipboard support via DA1 extension 52 or XTGETTCAP Ms.
DA1 extension 52: no
XTGETTCAP Ms: no
Terminal Identification
XTerm is identified as XTerm version 410 (detected via XTVERSION).
XTVERSION (raw): XTerm(410)
XTVERSION: yes
XTGETTCAP TN: yes (xterm)
ENQ: no
TERM_PROGRAM: no
TERM: no (xterm)
Reproduction
To reproduce these results for XTerm, install and run ucs-detect with the following commands:
uvx ucs-detect --rerun data/xterm.yaml
Test Performance
The test suite completed in 3.00 seconds (3s).
Mean CPU: 17.0%
Mean RSS: 25.6 MB
Total time: 3.0s
CPU usage during test execution for XTerm.
RSS memory usage during test execution for XTerm.
Test duration for XTerm compared to all other terminals.
CPU % vs duration trade-off for XTerm.